Results_notebook.ipynb

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       "<div id=\"my_id_menu_nb\">run previous cell, wait for 2 seconds</div>\n",
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       "<IPython.core.display.HTML object>"
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   ],
   "source": [
    "\n",
    "try:\n",
    "    from jyquickhelper import add_notebook_menu \n",
    "except:\n",
    "    !pip install jyquickhelper\n",
    "    from jyquickhelper import add_notebook_menu\n",
    "    \n",
    "\n",
    "add_notebook_menu()\n",
    "#Table du contenu pour  naviger facilement le notebook. "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook presentation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook is focused on presenting the benchmark results for the Rips complex, Rips edge collapse complex, and alpha complex. The evaluation is performed on the ORBIT15K dataset. The notebook includes two tests, each utilizing distinct machine learning pipelines, which will be described in subsequent steps."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import ast\n",
    "import numpy as np\n",
    "from memory_profiler import profile\n",
    "from sklearn.preprocessing   import MinMaxScaler\n",
    "from sklearn.pipeline        import Pipeline\n",
    "from sklearn.svm             import SVC\n",
    "from sklearn.ensemble        import RandomForestClassifier\n",
    "from sklearn.neighbors       import KNeighborsClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from gudhi.representations import PersistenceImage\n",
    "from gudhi.representations import BottleneckDistance\n",
    "from gudhi.representations import Landscape\n",
    "import gudhi as gd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', None)  # Show all rows\n",
    "pd.set_option('display.max_columns', None)  # Show all columns"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Second Test : Selection of the representation module"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pipeline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = Pipeline([(\"Separator\", gd.representations.DiagramSelector(limit=np.inf, point_type=\"finite\")),\n",
    "                    (\"Scaler\",    gd.representations.DiagramScaler(scalers=[([0,1], MinMaxScaler())])),\n",
    "                    (\"TDA\",       gd.representations.PersistenceImage()),\n",
    "                    (\"Estimator\", RandomForestClassifier())])\n",
    "\n",
    "param =    [\n",
    "                                \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.Landscape()], \n",
    "                \"TDA__resolution\":     [100],\n",
    "                \"Estimator\":           [RandomForestClassifier()]},\n",
    "            \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.PersistenceImage()], \n",
    "                \"TDA__resolution\":     [ [5,5], [6,6] ],\n",
    "                \"TDA__bandwidth\":      [0.01, 0.1, 1.0, 10.0],\n",
    "                \"Estimator\":           [RandomForestClassifier()]},\n",
    "                {\"Scaler__use\":         [False],\n",
    "                \"TDA\":                 [gd.representations.BottleneckDistance()], \n",
    "                \"TDA__epsilon\":        [0.1], \n",
    "                \"Estimator\":           [RandomForestClassifier()]}\n",
    "            ]\n",
    "\n",
    "model = GridSearchCV(pipe, param, cv=4, error_score='raise')   "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Alpha Complex :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>exact</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>RandomForestClassifier()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>Landscape()</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>100</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "  complex_parameters  elapsed_time  time for diagram computation   \n",
       "0              alpha       898.176                         7.736  \\\n",
       "1              exact       898.176                         7.736   \n",
       "2                NaN       898.176                         7.736   \n",
       "3                NaN       898.176                         7.736   \n",
       "4                NaN       898.176                         7.736   \n",
       "5                NaN       898.176                         7.736   \n",
       "6                NaN       898.176                         7.736   \n",
       "7                NaN       898.176                         7.736   \n",
       "8                NaN       898.176                         7.736   \n",
       "9                NaN       898.176                         7.736   \n",
       "\n",
       "   time for pipeline creation  time for pipeline fitting and testing   \n",
       "0                         0.0                                    890  \\\n",
       "1                         0.0                                    890   \n",
       "2                         0.0                                    890   \n",
       "3                         0.0                                    890   \n",
       "4                         0.0                                    890   \n",
       "5                         0.0                                    890   \n",
       "6                         0.0                                    890   \n",
       "7                         0.0                                    890   \n",
       "8                         0.0                                    890   \n",
       "9                         0.0                                    890   \n",
       "\n",
       "   elapsed_memory  memory for diagram computation   \n",
       "0           2.586                           0.012  \\\n",
       "1           2.586                           0.012   \n",
       "2           2.586                           0.012   \n",
       "3           2.586                           0.012   \n",
       "4           2.586                           0.012   \n",
       "5           2.586                           0.012   \n",
       "6           2.586                           0.012   \n",
       "7           2.586                           0.012   \n",
       "8           2.586                           0.012   \n",
       "9           2.586                           0.012   \n",
       "\n",
       "   memory for pipeline creation  memory for pipeline fitting and testing   \n",
       "0                           0.0                                        3  \\\n",
       "1                           0.0                                        3   \n",
       "2                           0.0                                        3   \n",
       "3                           0.0                                        3   \n",
       "4                           0.0                                        3   \n",
       "5                           0.0                                        3   \n",
       "6                           0.0                                        3   \n",
       "7                           0.0                                        3   \n",
       "8                           0.0                                        3   \n",
       "9                           0.0                                        3   \n",
       "\n",
       "   test_accuracy best parameters for the complex  \n",
       "0       0.733333                             NaN  \n",
       "1       0.733333                             NaN  \n",
       "2       0.733333        RandomForestClassifier()  \n",
       "3       0.733333                             NaN  \n",
       "4       0.733333                               1  \n",
       "5       0.733333                               2  \n",
       "6       0.733333                             100  \n",
       "7       0.733333                            True  \n",
       "8       0.733333                     Landscape()  \n",
       "9       0.733333                             100  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_alpha_test_1=pd.read_csv(\"resultsentier3alpha99846.csv\")\n",
    "df_alpha_test_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>complex_parameters</th>\n",
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       "      <th>0</th>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>977.068</td>\n",
       "      <td>2.328</td>\n",
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       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
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       "      <th>1</th>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>905.853</td>\n",
       "      <td>1.989</td>\n",
       "      <td>0.0</td>\n",
       "      <td>904</td>\n",
       "      <td>26.562</td>\n",
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       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>898.176</td>\n",
       "      <td>7.736</td>\n",
       "      <td>0.0</td>\n",
       "      <td>890</td>\n",
       "      <td>2.586</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                complex_parameters  elapsed_time   \n",
       "0   {'complex_type': 'alpha', 'precision': 'fast'}       977.068  \\\n",
       "1   {'complex_type': 'alpha', 'precision': 'safe'}       905.853   \n",
       "2  {'complex_type': 'alpha', 'precision': 'exact'}       898.176   \n",
       "\n",
       "   time for diagram computation  time for pipeline creation   \n",
       "0                         2.328                         0.0  \\\n",
       "1                         1.989                         0.0   \n",
       "2                         7.736                         0.0   \n",
       "\n",
       "   time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                    975           6.449  \\\n",
       "1                                    904          26.562   \n",
       "2                                    890           2.586   \n",
       "\n",
       "   memory for diagram computation  memory for pipeline creation   \n",
       "0                           0.438                           0.0  \\\n",
       "1                           0.000                           0.0   \n",
       "2                           0.012                           0.0   \n",
       "\n",
       "   memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                        6       1.000000  \\\n",
       "1                                       27       0.733333   \n",
       "2                                        3       0.733333   \n",
       "\n",
       "                     best parameters for the complex  \n",
       "0  {'Estimator': RandomForestClassifier(max_depth...  \n",
       "1  {'Estimator': RandomForestClassifier(max_depth...  \n",
       "2  {'Estimator': RandomForestClassifier(), 'Estim...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_alpha_test_2=pd.read_csv(\"results3alpha99846.csv\")\n",
    "df_alpha_test_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
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       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>71.804</td>\n",
       "      <td>9.205</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63</td>\n",
       "      <td>1.043</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>29.435</td>\n",
       "      <td>9.576</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>51.927</td>\n",
       "      <td>2.583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49</td>\n",
       "      <td>6.922</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>53.611</td>\n",
       "      <td>2.338</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>39.283</td>\n",
       "      <td>11.054</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>24.089</td>\n",
       "      <td>3.178</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>5.309</td>\n",
       "      <td>1.547</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>30.043</td>\n",
       "      <td>2.895</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27</td>\n",
       "      <td>9.238</td>\n",
       "      <td>7.402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>25.323</td>\n",
       "      <td>2.504</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23</td>\n",
       "      <td>1.141</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>22.292</td>\n",
       "      <td>2.753</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "      <td>10.285</td>\n",
       "      <td>1.508</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  complex_type precision                               complex_parameters   \n",
       "0        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}  \\\n",
       "1        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "2        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "3        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "4        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "5        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "6        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "7        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "8        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "\n",
       "   elapsed_time  time for diagram computation  time for pipeline creation   \n",
       "0        71.804                         9.205                         0.0  \\\n",
       "1        29.435                         9.576                         0.0   \n",
       "2        51.927                         2.583                         0.0   \n",
       "3        53.611                         2.338                         0.0   \n",
       "4        39.283                        11.054                         0.0   \n",
       "5        24.089                         3.178                         0.0   \n",
       "6        30.043                         2.895                         0.0   \n",
       "7        25.323                         2.504                         0.0   \n",
       "8        22.292                         2.753                         0.0   \n",
       "\n",
       "   time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                     63           1.043  \\\n",
       "1                                     20           0.023   \n",
       "2                                     49           6.922   \n",
       "3                                     51           0.176   \n",
       "4                                     28           0.766   \n",
       "5                                     21           5.309   \n",
       "6                                     27           9.238   \n",
       "7                                     23           1.141   \n",
       "8                                     20          10.285   \n",
       "\n",
       "   memory for diagram computation  memory for pipeline creation   \n",
       "0                           0.000                           0.0  \\\n",
       "1                           0.000                           0.0   \n",
       "2                           0.285                           0.0   \n",
       "3                           0.000                           0.0   \n",
       "4                           0.008                           0.0   \n",
       "5                           1.547                           0.0   \n",
       "6                           7.402                           0.0   \n",
       "7                           0.000                           0.0   \n",
       "8                           1.508                           0.0   \n",
       "\n",
       "   memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                        1       0.619048  \\\n",
       "1                                        0       0.619048   \n",
       "2                                        7       0.571429   \n",
       "3                                        0       0.523810   \n",
       "4                                        1       0.476190   \n",
       "5                                        4       0.380952   \n",
       "6                                        2       0.380952   \n",
       "7                                        1       0.333333   \n",
       "8                                        9       0.238095   \n",
       "\n",
       "                     best parameters for the complex                Estimator  \n",
       "0  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "1  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "2  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "3  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "4  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "5  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "6  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "7  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "8  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_alpha_test_1=pd.read_csv(\"results_alpha.csv\")\n",
    "df_alpha_test_2=pd.read_csv(\"resultsalpha_6245.csv\")\n",
    "df_alpha_test_3=pd.read_csv(\"resultsalpha_625.csv\")\n",
    "df_alpha_test_pipeline1=pd.concat([df_alpha_test_1,df_alpha_test_2,df_alpha_test_3])\n",
    "df_alpha_test_pipeline1=df_alpha_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_alpha_test_pipeline1 = df_alpha_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_alpha_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "df_alpha_test_pipeline1 = pd.concat([df_complex, df_alpha_test_pipeline1], axis=1)\n",
    "df_alpha_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_alpha_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>71.804</td>\n",
       "      <td>1.043</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>29.435</td>\n",
       "      <td>0.023</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>51.927</td>\n",
       "      <td>6.922</td>\n",
       "      <td>0.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>53.611</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.523810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>39.283</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.476190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>24.089</td>\n",
       "      <td>5.309</td>\n",
       "      <td>0.380952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>30.043</td>\n",
       "      <td>9.238</td>\n",
       "      <td>0.380952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>25.323</td>\n",
       "      <td>1.141</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>22.292</td>\n",
       "      <td>10.285</td>\n",
       "      <td>0.238095</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  complex_type precision  elapsed_time  elapsed_memory  test_accuracy\n",
       "0        alpha     exact        71.804           1.043       0.619048\n",
       "1        alpha     exact        29.435           0.023       0.619048\n",
       "2        alpha      fast        51.927           6.922       0.571429\n",
       "3        alpha      safe        53.611           0.176       0.523810\n",
       "4        alpha     exact        39.283           0.766       0.476190\n",
       "5        alpha      fast        24.089           5.309       0.380952\n",
       "6        alpha      safe        30.043           9.238       0.380952\n",
       "7        alpha      safe        25.323           1.141       0.333333\n",
       "8        alpha      fast        22.292          10.285       0.238095"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns_to_keep = ['complex_type', 'precision', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "\n",
    "# Keep only the specified columns\n",
    "df_alpha_test_pipeline1_filtered = df_alpha_test_pipeline1[columns_to_keep]\n",
    "df_alpha_test_pipeline1_filtered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " MEAN MEMORY  3.878111111111112\n",
      " MEAN TIME  38.64522222222222\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n"
     ]
    }
   ],
   "source": [
    "print(\" MEAN MEMORY \",np.mean(df_alpha_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\" MEAN TIME \",np.mean(df_alpha_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_alpha_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for alpha: \n",
    "\n",
    "* Best persistence representations: Persistence Image\n",
    "* Best precision: exact\n",
    "* Mean of elapsed_time: 38.645222\n",
    "* Mean of elapsed_memory: 3.878 MB\n",
    "* Best test accuracy: 0.619048\n",
    "* Best elapsed time for best acc: 29.435 seconds\n",
    "* Best elapsed memory for best acc: 0.023 MB\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edge Collapse Rips Complex :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>sparse</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.516584</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>258.302</td>\n",
       "      <td>244.751</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>55270.480</td>\n",
       "      <td>55270.480</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>338.189</td>\n",
       "      <td>325.621</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>80732.895</td>\n",
       "      <td>80732.895</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>437.601</td>\n",
       "      <td>425.233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>110552.590</td>\n",
       "      <td>110552.590</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>246.145</td>\n",
       "      <td>234.599</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>43914.680</td>\n",
       "      <td>43914.680</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>151.566</td>\n",
       "      <td>140.578</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>35265.723</td>\n",
       "      <td>35265.723</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>520.796</td>\n",
       "      <td>509.302</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>151870.590</td>\n",
       "      <td>151870.590</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.590269</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>356.636</td>\n",
       "      <td>343.033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>81101.656</td>\n",
       "      <td>81101.656</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>118.301</td>\n",
       "      <td>106.297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>24753.375</td>\n",
       "      <td>24753.375</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>63.548</td>\n",
       "      <td>52.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>10466.676</td>\n",
       "      <td>10466.676</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>223.390</td>\n",
       "      <td>211.901</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>55033.195</td>\n",
       "      <td>55033.195</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>38.442</td>\n",
       "      <td>26.853</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>6416.324</td>\n",
       "      <td>6415.348</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.443120</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>176.507</td>\n",
       "      <td>163.070</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>34378.750</td>\n",
       "      <td>34378.750</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.516584</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>259.532</td>\n",
       "      <td>246.191</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>55125.395</td>\n",
       "      <td>55125.395</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>313.566</td>\n",
       "      <td>302.089</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>80292.492</td>\n",
       "      <td>80292.492</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.857695</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>730.722</td>\n",
       "      <td>717.440</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>205978.922</td>\n",
       "      <td>205978.922</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>278.359</td>\n",
       "      <td>266.771</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>28035.012</td>\n",
       "      <td>27532.395</td>\n",
       "      <td>0.000</td>\n",
       "      <td>503</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>649.311</td>\n",
       "      <td>637.903</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>202589.574</td>\n",
       "      <td>202589.574</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>75.676</td>\n",
       "      <td>63.478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>11071.566</td>\n",
       "      <td>11071.566</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>188.477</td>\n",
       "      <td>176.816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>29995.109</td>\n",
       "      <td>29995.109</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>684.351</td>\n",
       "      <td>671.909</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>197744.832</td>\n",
       "      <td>197743.660</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>579.556</td>\n",
       "      <td>568.560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>155097.789</td>\n",
       "      <td>155097.543</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>408.387</td>\n",
       "      <td>396.957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>112024.789</td>\n",
       "      <td>112024.785</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>521.669</td>\n",
       "      <td>510.219</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>151853.230</td>\n",
       "      <td>151853.230</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>249.495</td>\n",
       "      <td>237.211</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>57108.977</td>\n",
       "      <td>57108.977</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>409.566</td>\n",
       "      <td>398.300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>112031.012</td>\n",
       "      <td>112031.012</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>187.567</td>\n",
       "      <td>176.078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>30251.059</td>\n",
       "      <td>30251.059</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191713</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>31.761</td>\n",
       "      <td>18.324</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>1443.543</td>\n",
       "      <td>1442.961</td>\n",
       "      <td>0.004</td>\n",
       "      <td>1</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.666974</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>466.067</td>\n",
       "      <td>452.655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>113985.480</td>\n",
       "      <td>113985.480</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>173.900</td>\n",
       "      <td>161.566</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>38570.141</td>\n",
       "      <td>38570.141</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.590269</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>356.212</td>\n",
       "      <td>342.611</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>81374.324</td>\n",
       "      <td>81374.324</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.666974</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>466.698</td>\n",
       "      <td>453.531</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>114129.715</td>\n",
       "      <td>114129.715</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.751931</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>592.230</td>\n",
       "      <td>578.638</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>154519.305</td>\n",
       "      <td>154519.305</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>102.767</td>\n",
       "      <td>91.310</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>20614.359</td>\n",
       "      <td>20614.359</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.642946</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>468.002</td>\n",
       "      <td>456.952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>116776.570</td>\n",
       "      <td>116776.059</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.642946</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>482.422</td>\n",
       "      <td>470.879</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>117122.395</td>\n",
       "      <td>117122.395</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.367327</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>108.806</td>\n",
       "      <td>95.248</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>14037.785</td>\n",
       "      <td>14037.785</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>151.773</td>\n",
       "      <td>140.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>17137.828</td>\n",
       "      <td>17137.828</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>645.539</td>\n",
       "      <td>633.828</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>202703.934</td>\n",
       "      <td>202703.934</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.751931</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>592.802</td>\n",
       "      <td>579.323</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>154626.586</td>\n",
       "      <td>154626.586</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.857695</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>732.255</td>\n",
       "      <td>718.673</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>205976.531</td>\n",
       "      <td>205976.531</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>155.978</td>\n",
       "      <td>144.997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>35271.914</td>\n",
       "      <td>35271.910</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>243.440</td>\n",
       "      <td>230.948</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>57111.852</td>\n",
       "      <td>57111.852</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>103.200</td>\n",
       "      <td>91.749</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>20570.977</td>\n",
       "      <td>20570.977</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.184333</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>125.965</td>\n",
       "      <td>114.423</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>14003.090</td>\n",
       "      <td>14003.082</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.286114</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>63.348</td>\n",
       "      <td>50.176</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>6958.984</td>\n",
       "      <td>6957.762</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>201.522</td>\n",
       "      <td>189.913</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>13732.543</td>\n",
       "      <td>13732.543</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>75.037</td>\n",
       "      <td>63.145</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>10561.332</td>\n",
       "      <td>10561.332</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>61.141</td>\n",
       "      <td>50.107</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>10465.000</td>\n",
       "      <td>10465.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>246.869</td>\n",
       "      <td>235.624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>44298.148</td>\n",
       "      <td>44298.148</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191713</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>31.738</td>\n",
       "      <td>18.222</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1313.707</td>\n",
       "      <td>1313.707</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>119.280</td>\n",
       "      <td>106.973</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>24750.383</td>\n",
       "      <td>24750.383</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.367327</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>108.514</td>\n",
       "      <td>95.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>14033.203</td>\n",
       "      <td>14033.203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>554.328</td>\n",
       "      <td>542.109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>148398.852</td>\n",
       "      <td>148398.852</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>555.015</td>\n",
       "      <td>542.639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>148394.941</td>\n",
       "      <td>148394.941</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.567462</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>389.827</td>\n",
       "      <td>378.497</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>86548.602</td>\n",
       "      <td>86548.602</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>691.509</td>\n",
       "      <td>679.175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>197749.379</td>\n",
       "      <td>197749.379</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>438.425</td>\n",
       "      <td>425.910</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>110550.395</td>\n",
       "      <td>110550.395</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>173.705</td>\n",
       "      <td>161.844</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>38563.777</td>\n",
       "      <td>38563.773</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>315.073</td>\n",
       "      <td>303.457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>62814.922</td>\n",
       "      <td>62814.922</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>39.823</td>\n",
       "      <td>26.673</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>5245.430</td>\n",
       "      <td>5245.422</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.832011</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>716.380</td>\n",
       "      <td>704.822</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>204647.547</td>\n",
       "      <td>204647.547</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.567462</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>392.059</td>\n",
       "      <td>380.477</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>86912.922</td>\n",
       "      <td>86912.922</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.286114</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>65.911</td>\n",
       "      <td>52.191</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>8896.562</td>\n",
       "      <td>8895.352</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>147.508</td>\n",
       "      <td>136.107</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>16715.906</td>\n",
       "      <td>16715.906</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>50.455</td>\n",
       "      <td>38.191</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>9095.523</td>\n",
       "      <td>9095.523</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.184333</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>126.423</td>\n",
       "      <td>114.795</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>14993.012</td>\n",
       "      <td>14992.055</td>\n",
       "      <td>0.004</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.443120</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>171.817</td>\n",
       "      <td>158.478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>29325.008</td>\n",
       "      <td>29325.008</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>337.377</td>\n",
       "      <td>324.811</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13</td>\n",
       "      <td>80786.898</td>\n",
       "      <td>80786.898</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>51.068</td>\n",
       "      <td>38.639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>10013.805</td>\n",
       "      <td>10012.844</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.832011</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>713.951</td>\n",
       "      <td>702.495</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>204280.621</td>\n",
       "      <td>204280.523</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>592.149</td>\n",
       "      <td>580.666</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11</td>\n",
       "      <td>154672.785</td>\n",
       "      <td>154672.785</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>316.106</td>\n",
       "      <td>304.548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>63165.719</td>\n",
       "      <td>63165.719</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_dimension sparse  max_edge_length  nb_iterations   \n",
       "0          edge              2   None         0.516584              2  \\\n",
       "1          edge              2   None         0.575211              3   \n",
       "2          edge              2   None         0.649735              2   \n",
       "3          edge              2   None         0.425860              3   \n",
       "4          edge              2   None         0.439468              3   \n",
       "5          edge              2   None         0.746055              3   \n",
       "6          edge              2   None         0.590269              2   \n",
       "7          edge              2   None         0.358031              2   \n",
       "8          edge              2   None         0.284186              3   \n",
       "9          edge              2   None         0.512279              2   \n",
       "10         edge              2   None         0.190465              2   \n",
       "11         edge              2   None         0.443120              3   \n",
       "12         edge              2   None         0.516584              3   \n",
       "13         edge              2   None         0.585445              3   \n",
       "14         edge              2   None         0.857695              2   \n",
       "15         edge              2   None         0.585445              2   \n",
       "16         edge              2   None         0.851250              3   \n",
       "17         edge              2   None         0.278639              2   \n",
       "18         edge              2   None         0.353158              3   \n",
       "19         edge              2   None         0.836042              3   \n",
       "20         edge              2   None         0.726875              2   \n",
       "21         edge              2   None         0.661717              3   \n",
       "22         edge              2   None         0.746055              2   \n",
       "23         edge              2   None         0.503620              3   \n",
       "24         edge              2   None         0.661717              2   \n",
       "25         edge              2   None         0.353158              2   \n",
       "26         edge              2   None         0.191713              2   \n",
       "27         edge              2   None         0.666974              3   \n",
       "28         edge              2   None         0.431968              2   \n",
       "29         edge              2   None         0.590269              3   \n",
       "30         edge              2   None         0.666974              2   \n",
       "31         edge              2   None         0.751931              3   \n",
       "32         edge              2   None         0.364614              3   \n",
       "33         edge              2   None         0.642946              3   \n",
       "34         edge              2   None         0.642946              2   \n",
       "35         edge              2   None         0.367327              2   \n",
       "36         edge              2   None         0.275171              2   \n",
       "37         edge              2   None         0.851250              2   \n",
       "38         edge              2   None         0.751931              2   \n",
       "39         edge              2   None         0.857695              3   \n",
       "40         edge              2   None         0.439468              2   \n",
       "41         edge              2   None         0.503620              2   \n",
       "42         edge              2   None         0.364614              2   \n",
       "43         edge              2   None         0.184333              3   \n",
       "44         edge              2   None         0.286114              3   \n",
       "45         edge              2   None         0.512279              3   \n",
       "46         edge              2   None         0.278639              3   \n",
       "47         edge              2   None         0.284186              2   \n",
       "48         edge              2   None         0.425860              2   \n",
       "49         edge              2   None         0.191713              3   \n",
       "50         edge              2   None         0.358031              3   \n",
       "51         edge              2   None         0.367327              3   \n",
       "52         edge              2   None         0.732426              3   \n",
       "53         edge              2   None         0.732426              2   \n",
       "54         edge              2   None         0.567462              3   \n",
       "55         edge              2   None         0.836042              2   \n",
       "56         edge              2   None         0.649735              3   \n",
       "57         edge              2   None         0.431968              3   \n",
       "58         edge              2   None         0.496333              3   \n",
       "59         edge              2   None         0.190465              3   \n",
       "60         edge              2   None         0.832011              2   \n",
       "61         edge              2   None         0.567462              2   \n",
       "62         edge              2   None         0.286114              2   \n",
       "63         edge              2   None         0.275171              3   \n",
       "64         edge              2   None         0.186441              3   \n",
       "65         edge              2   None         0.184333              2   \n",
       "66         edge              2   None         0.443120              2   \n",
       "67         edge              2   None         0.575211              2   \n",
       "68         edge              2   None         0.186441              2   \n",
       "69         edge              2   None         0.832011              3   \n",
       "70         edge              2   None         0.726875              3   \n",
       "71         edge              2   None         0.496333              2   \n",
       "\n",
       "                                   complex_parameters  elapsed_time   \n",
       "0   {'complex_type': 'edge', 'max_dimension': 2, '...       258.302  \\\n",
       "1   {'complex_type': 'edge', 'max_dimension': 2, '...       338.189   \n",
       "2   {'complex_type': 'edge', 'max_dimension': 2, '...       437.601   \n",
       "3   {'complex_type': 'edge', 'max_dimension': 2, '...       246.145   \n",
       "4   {'complex_type': 'edge', 'max_dimension': 2, '...       151.566   \n",
       "5   {'complex_type': 'edge', 'max_dimension': 2, '...       520.796   \n",
       "6   {'complex_type': 'edge', 'max_dimension': 2, '...       356.636   \n",
       "7   {'complex_type': 'edge', 'max_dimension': 2, '...       118.301   \n",
       "8   {'complex_type': 'edge', 'max_dimension': 2, '...        63.548   \n",
       "9   {'complex_type': 'edge', 'max_dimension': 2, '...       223.390   \n",
       "10  {'complex_type': 'edge', 'max_dimension': 2, '...        38.442   \n",
       "11  {'complex_type': 'edge', 'max_dimension': 2, '...       176.507   \n",
       "12  {'complex_type': 'edge', 'max_dimension': 2, '...       259.532   \n",
       "13  {'complex_type': 'edge', 'max_dimension': 2, '...       313.566   \n",
       "14  {'complex_type': 'edge', 'max_dimension': 2, '...       730.722   \n",
       "15  {'complex_type': 'edge', 'max_dimension': 2, '...       278.359   \n",
       "16  {'complex_type': 'edge', 'max_dimension': 2, '...       649.311   \n",
       "17  {'complex_type': 'edge', 'max_dimension': 2, '...        75.676   \n",
       "18  {'complex_type': 'edge', 'max_dimension': 2, '...       188.477   \n",
       "19  {'complex_type': 'edge', 'max_dimension': 2, '...       684.351   \n",
       "20  {'complex_type': 'edge', 'max_dimension': 2, '...       579.556   \n",
       "21  {'complex_type': 'edge', 'max_dimension': 2, '...       408.387   \n",
       "22  {'complex_type': 'edge', 'max_dimension': 2, '...       521.669   \n",
       "23  {'complex_type': 'edge', 'max_dimension': 2, '...       249.495   \n",
       "24  {'complex_type': 'edge', 'max_dimension': 2, '...       409.566   \n",
       "25  {'complex_type': 'edge', 'max_dimension': 2, '...       187.567   \n",
       "26  {'complex_type': 'edge', 'max_dimension': 2, '...        31.761   \n",
       "27  {'complex_type': 'edge', 'max_dimension': 2, '...       466.067   \n",
       "28  {'complex_type': 'edge', 'max_dimension': 2, '...       173.900   \n",
       "29  {'complex_type': 'edge', 'max_dimension': 2, '...       356.212   \n",
       "30  {'complex_type': 'edge', 'max_dimension': 2, '...       466.698   \n",
       "31  {'complex_type': 'edge', 'max_dimension': 2, '...       592.230   \n",
       "32  {'complex_type': 'edge', 'max_dimension': 2, '...       102.767   \n",
       "33  {'complex_type': 'edge', 'max_dimension': 2, '...       468.002   \n",
       "34  {'complex_type': 'edge', 'max_dimension': 2, '...       482.422   \n",
       "35  {'complex_type': 'edge', 'max_dimension': 2, '...       108.806   \n",
       "36  {'complex_type': 'edge', 'max_dimension': 2, '...       151.773   \n",
       "37  {'complex_type': 'edge', 'max_dimension': 2, '...       645.539   \n",
       "38  {'complex_type': 'edge', 'max_dimension': 2, '...       592.802   \n",
       "39  {'complex_type': 'edge', 'max_dimension': 2, '...       732.255   \n",
       "40  {'complex_type': 'edge', 'max_dimension': 2, '...       155.978   \n",
       "41  {'complex_type': 'edge', 'max_dimension': 2, '...       243.440   \n",
       "42  {'complex_type': 'edge', 'max_dimension': 2, '...       103.200   \n",
       "43  {'complex_type': 'edge', 'max_dimension': 2, '...       125.965   \n",
       "44  {'complex_type': 'edge', 'max_dimension': 2, '...        63.348   \n",
       "45  {'complex_type': 'edge', 'max_dimension': 2, '...       201.522   \n",
       "46  {'complex_type': 'edge', 'max_dimension': 2, '...        75.037   \n",
       "47  {'complex_type': 'edge', 'max_dimension': 2, '...        61.141   \n",
       "48  {'complex_type': 'edge', 'max_dimension': 2, '...       246.869   \n",
       "49  {'complex_type': 'edge', 'max_dimension': 2, '...        31.738   \n",
       "50  {'complex_type': 'edge', 'max_dimension': 2, '...       119.280   \n",
       "51  {'complex_type': 'edge', 'max_dimension': 2, '...       108.514   \n",
       "52  {'complex_type': 'edge', 'max_dimension': 2, '...       554.328   \n",
       "53  {'complex_type': 'edge', 'max_dimension': 2, '...       555.015   \n",
       "54  {'complex_type': 'edge', 'max_dimension': 2, '...       389.827   \n",
       "55  {'complex_type': 'edge', 'max_dimension': 2, '...       691.509   \n",
       "56  {'complex_type': 'edge', 'max_dimension': 2, '...       438.425   \n",
       "57  {'complex_type': 'edge', 'max_dimension': 2, '...       173.705   \n",
       "58  {'complex_type': 'edge', 'max_dimension': 2, '...       315.073   \n",
       "59  {'complex_type': 'edge', 'max_dimension': 2, '...        39.823   \n",
       "60  {'complex_type': 'edge', 'max_dimension': 2, '...       716.380   \n",
       "61  {'complex_type': 'edge', 'max_dimension': 2, '...       392.059   \n",
       "62  {'complex_type': 'edge', 'max_dimension': 2, '...        65.911   \n",
       "63  {'complex_type': 'edge', 'max_dimension': 2, '...       147.508   \n",
       "64  {'complex_type': 'edge', 'max_dimension': 2, '...        50.455   \n",
       "65  {'complex_type': 'edge', 'max_dimension': 2, '...       126.423   \n",
       "66  {'complex_type': 'edge', 'max_dimension': 2, '...       171.817   \n",
       "67  {'complex_type': 'edge', 'max_dimension': 2, '...       337.377   \n",
       "68  {'complex_type': 'edge', 'max_dimension': 2, '...        51.068   \n",
       "69  {'complex_type': 'edge', 'max_dimension': 2, '...       713.951   \n",
       "70  {'complex_type': 'edge', 'max_dimension': 2, '...       592.149   \n",
       "71  {'complex_type': 'edge', 'max_dimension': 2, '...       316.106   \n",
       "\n",
       "    time for diagram computation  time for pipeline creation   \n",
       "0                        244.751                         0.0  \\\n",
       "1                        325.621                         0.0   \n",
       "2                        425.233                         0.0   \n",
       "3                        234.599                         0.0   \n",
       "4                        140.578                         0.0   \n",
       "5                        509.302                         0.0   \n",
       "6                        343.033                         0.0   \n",
       "7                        106.297                         0.0   \n",
       "8                         52.000                         0.0   \n",
       "9                        211.901                         0.0   \n",
       "10                        26.853                         0.0   \n",
       "11                       163.070                         0.0   \n",
       "12                       246.191                         0.0   \n",
       "13                       302.089                         0.0   \n",
       "14                       717.440                         0.0   \n",
       "15                       266.771                         0.0   \n",
       "16                       637.903                         0.0   \n",
       "17                        63.478                         0.0   \n",
       "18                       176.816                         0.0   \n",
       "19                       671.909                         0.0   \n",
       "20                       568.560                         0.0   \n",
       "21                       396.957                         0.0   \n",
       "22                       510.219                         0.0   \n",
       "23                       237.211                         0.0   \n",
       "24                       398.300                         0.0   \n",
       "25                       176.078                         0.0   \n",
       "26                        18.324                         0.0   \n",
       "27                       452.655                         0.0   \n",
       "28                       161.566                         0.0   \n",
       "29                       342.611                         0.0   \n",
       "30                       453.531                         0.0   \n",
       "31                       578.638                         0.0   \n",
       "32                        91.310                         0.0   \n",
       "33                       456.952                         0.0   \n",
       "34                       470.879                         0.0   \n",
       "35                        95.248                         0.0   \n",
       "36                       140.025                         0.0   \n",
       "37                       633.828                         0.0   \n",
       "38                       579.323                         0.0   \n",
       "39                       718.673                         0.0   \n",
       "40                       144.997                         0.0   \n",
       "41                       230.948                         0.0   \n",
       "42                        91.749                         0.0   \n",
       "43                       114.423                         0.0   \n",
       "44                        50.176                         0.0   \n",
       "45                       189.913                         0.0   \n",
       "46                        63.145                         0.0   \n",
       "47                        50.107                         0.0   \n",
       "48                       235.624                         0.0   \n",
       "49                        18.222                         0.0   \n",
       "50                       106.973                         0.0   \n",
       "51                        95.003                         0.0   \n",
       "52                       542.109                         0.0   \n",
       "53                       542.639                         0.0   \n",
       "54                       378.497                         0.0   \n",
       "55                       679.175                         0.0   \n",
       "56                       425.910                         0.0   \n",
       "57                       161.844                         0.0   \n",
       "58                       303.457                         0.0   \n",
       "59                        26.673                         0.0   \n",
       "60                       704.822                         0.0   \n",
       "61                       380.477                         0.0   \n",
       "62                        52.191                         0.0   \n",
       "63                       136.107                         0.0   \n",
       "64                        38.191                         0.0   \n",
       "65                       114.795                         0.0   \n",
       "66                       158.478                         0.0   \n",
       "67                       324.811                         0.0   \n",
       "68                        38.639                         0.0   \n",
       "69                       702.495                         0.0   \n",
       "70                       580.666                         0.0   \n",
       "71                       304.548                         0.0   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                      14       55270.480  \\\n",
       "1                                      13       80732.895   \n",
       "2                                      12      110552.590   \n",
       "3                                      12       43914.680   \n",
       "4                                      11       35265.723   \n",
       "5                                      11      151870.590   \n",
       "6                                      14       81101.656   \n",
       "7                                      12       24753.375   \n",
       "8                                      12       10466.676   \n",
       "9                                      11       55033.195   \n",
       "10                                     12        6416.324   \n",
       "11                                     13       34378.750   \n",
       "12                                     13       55125.395   \n",
       "13                                     11       80292.492   \n",
       "14                                     13      205978.922   \n",
       "15                                     12       28035.012   \n",
       "16                                     11      202589.574   \n",
       "17                                     12       11071.566   \n",
       "18                                     12       29995.109   \n",
       "19                                     12      197744.832   \n",
       "20                                     11      155097.789   \n",
       "21                                     11      112024.789   \n",
       "22                                     11      151853.230   \n",
       "23                                     12       57108.977   \n",
       "24                                     11      112031.012   \n",
       "25                                     11       30251.059   \n",
       "26                                     13        1443.543   \n",
       "27                                     13      113985.480   \n",
       "28                                     12       38570.141   \n",
       "29                                     14       81374.324   \n",
       "30                                     13      114129.715   \n",
       "31                                     14      154519.305   \n",
       "32                                     11       20614.359   \n",
       "33                                     11      116776.570   \n",
       "34                                     12      117122.395   \n",
       "35                                     14       14037.785   \n",
       "36                                     12       17137.828   \n",
       "37                                     12      202703.934   \n",
       "38                                     13      154626.586   \n",
       "39                                     14      205976.531   \n",
       "40                                     11       35271.914   \n",
       "41                                     12       57111.852   \n",
       "42                                     11       20570.977   \n",
       "43                                     12       14003.090   \n",
       "44                                     13        6958.984   \n",
       "45                                     12       13732.543   \n",
       "46                                     12       10561.332   \n",
       "47                                     11       10465.000   \n",
       "48                                     11       44298.148   \n",
       "49                                     14        1313.707   \n",
       "50                                     12       24750.383   \n",
       "51                                     14       14033.203   \n",
       "52                                     12      148398.852   \n",
       "53                                     12      148394.941   \n",
       "54                                     11       86548.602   \n",
       "55                                     12      197749.379   \n",
       "56                                     13      110550.395   \n",
       "57                                     12       38563.777   \n",
       "58                                     12       62814.922   \n",
       "59                                     13        5245.430   \n",
       "60                                     12      204647.547   \n",
       "61                                     12       86912.922   \n",
       "62                                     14        8896.562   \n",
       "63                                     11       16715.906   \n",
       "64                                     12        9095.523   \n",
       "65                                     12       14993.012   \n",
       "66                                     13       29325.008   \n",
       "67                                     13       80786.898   \n",
       "68                                     12       10013.805   \n",
       "69                                     11      204280.621   \n",
       "70                                     11      154672.785   \n",
       "71                                     12       63165.719   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                        55270.480                         0.000  \\\n",
       "1                        80732.895                         0.000   \n",
       "2                       110552.590                         0.000   \n",
       "3                        43914.680                         0.000   \n",
       "4                        35265.723                         0.000   \n",
       "5                       151870.590                         0.000   \n",
       "6                        81101.656                         0.000   \n",
       "7                        24753.375                         0.000   \n",
       "8                        10466.676                         0.000   \n",
       "9                        55033.195                         0.000   \n",
       "10                        6415.348                         0.000   \n",
       "11                       34378.750                         0.000   \n",
       "12                       55125.395                         0.000   \n",
       "13                       80292.492                         0.000   \n",
       "14                      205978.922                         0.000   \n",
       "15                       27532.395                         0.000   \n",
       "16                      202589.574                         0.000   \n",
       "17                       11071.566                         0.000   \n",
       "18                       29995.109                         0.000   \n",
       "19                      197743.660                         0.000   \n",
       "20                      155097.543                         0.000   \n",
       "21                      112024.785                         0.000   \n",
       "22                      151853.230                         0.000   \n",
       "23                       57108.977                         0.000   \n",
       "24                      112031.012                         0.000   \n",
       "25                       30251.059                         0.000   \n",
       "26                        1442.961                         0.004   \n",
       "27                      113985.480                         0.000   \n",
       "28                       38570.141                         0.000   \n",
       "29                       81374.324                         0.000   \n",
       "30                      114129.715                         0.000   \n",
       "31                      154519.305                         0.000   \n",
       "32                       20614.359                         0.000   \n",
       "33                      116776.059                         0.000   \n",
       "34                      117122.395                         0.000   \n",
       "35                       14037.785                         0.000   \n",
       "36                       17137.828                         0.000   \n",
       "37                      202703.934                         0.000   \n",
       "38                      154626.586                         0.000   \n",
       "39                      205976.531                         0.000   \n",
       "40                       35271.910                         0.000   \n",
       "41                       57111.852                         0.000   \n",
       "42                       20570.977                         0.000   \n",
       "43                       14003.082                         0.000   \n",
       "44                        6957.762                         0.000   \n",
       "45                       13732.543                         0.000   \n",
       "46                       10561.332                         0.000   \n",
       "47                       10465.000                         0.000   \n",
       "48                       44298.148                         0.000   \n",
       "49                        1313.707                         0.000   \n",
       "50                       24750.383                         0.000   \n",
       "51                       14033.203                         0.000   \n",
       "52                      148398.852                         0.000   \n",
       "53                      148394.941                         0.000   \n",
       "54                       86548.602                         0.000   \n",
       "55                      197749.379                         0.000   \n",
       "56                      110550.395                         0.000   \n",
       "57                       38563.773                         0.000   \n",
       "58                       62814.922                         0.000   \n",
       "59                        5245.422                         0.000   \n",
       "60                      204647.547                         0.000   \n",
       "61                       86912.922                         0.000   \n",
       "62                        8895.352                         0.000   \n",
       "63                       16715.906                         0.000   \n",
       "64                        9095.523                         0.000   \n",
       "65                       14992.055                         0.004   \n",
       "66                       29325.008                         0.000   \n",
       "67                       80786.898                         0.000   \n",
       "68                       10012.844                         0.000   \n",
       "69                      204280.523                         0.031   \n",
       "70                      154672.785                         0.000   \n",
       "71                       63165.719                         0.000   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                         0       0.714286  \\\n",
       "1                                         0       0.666667   \n",
       "2                                         0       0.666667   \n",
       "3                                         0       0.666667   \n",
       "4                                         0       0.666667   \n",
       "5                                         0       0.666667   \n",
       "6                                         0       0.619048   \n",
       "7                                         0       0.619048   \n",
       "8                                         0       0.619048   \n",
       "9                                         0       0.619048   \n",
       "10                                        1       0.619048   \n",
       "11                                        0       0.619048   \n",
       "12                                        0       0.571429   \n",
       "13                                        0       0.571429   \n",
       "14                                        0       0.571429   \n",
       "15                                      503       0.571429   \n",
       "16                                        0       0.571429   \n",
       "17                                        0       0.571429   \n",
       "18                                        0       0.571429   \n",
       "19                                        1       0.571429   \n",
       "20                                        0       0.571429   \n",
       "21                                        0       0.571429   \n",
       "22                                        0       0.523810   \n",
       "23                                        0       0.523810   \n",
       "24                                        0       0.523810   \n",
       "25                                        0       0.523810   \n",
       "26                                        1       0.523810   \n",
       "27                                        0       0.523810   \n",
       "28                                        0       0.523810   \n",
       "29                                        0       0.523810   \n",
       "30                                        0       0.523810   \n",
       "31                                        0       0.523810   \n",
       "32                                        0       0.476190   \n",
       "33                                        1       0.476190   \n",
       "34                                        0       0.476190   \n",
       "35                                        0       0.476190   \n",
       "36                                        0       0.476190   \n",
       "37                                        0       0.476190   \n",
       "38                                        0       0.476190   \n",
       "39                                        0       0.476190   \n",
       "40                                        0       0.476190   \n",
       "41                                        0       0.476190   \n",
       "42                                        0       0.476190   \n",
       "43                                        0       0.428571   \n",
       "44                                        1       0.428571   \n",
       "45                                        0       0.428571   \n",
       "46                                        0       0.428571   \n",
       "47                                        0       0.428571   \n",
       "48                                        0       0.428571   \n",
       "49                                        0       0.428571   \n",
       "50                                        0       0.428571   \n",
       "51                                        0       0.428571   \n",
       "52                                        0       0.428571   \n",
       "53                                        0       0.380952   \n",
       "54                                        0       0.380952   \n",
       "55                                        0       0.380952   \n",
       "56                                        0       0.380952   \n",
       "57                                        0       0.380952   \n",
       "58                                        0       0.380952   \n",
       "59                                        0       0.380952   \n",
       "60                                        0       0.380952   \n",
       "61                                        0       0.380952   \n",
       "62                                        1       0.333333   \n",
       "63                                        0       0.333333   \n",
       "64                                        0       0.333333   \n",
       "65                                        1       0.333333   \n",
       "66                                        0       0.333333   \n",
       "67                                        0       0.333333   \n",
       "68                                        1       0.333333   \n",
       "69                                        0       0.333333   \n",
       "70                                        0       0.285714   \n",
       "71                                        0       0.238095   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "12  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "13  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "14  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "15  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "16  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "17  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "18  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "19  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "20  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "21  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "22  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "23  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "24  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "25  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "26  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "27  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "28  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "29  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "30  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "31  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "32  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "33  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "34  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "35  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "36  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "37  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "38  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "39  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "40  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "41  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "42  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "43  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "44  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "45  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "46  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "47  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "48  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "49  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "50  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "51  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "52  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "53  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "54  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "55  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "56  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "57  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "58  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "59  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "60  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "61  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "62  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "63  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "64  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "65  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "66  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "67  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "68  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "69  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "70  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "71  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_edge_test_1=pd.read_csv(\"results_edge.csv\")\n",
    "df_edge_test_2=pd.read_csv(\"resultsedge_6245.csv\")\n",
    "df_edge_test_3=pd.read_csv(\"resultsedge_625.csv\")\n",
    "df_edge_test_4=pd.read_csv(\"resultsedge_6255558.csv\")\n",
    "df_edge_test_pipeline1=pd.concat([df_edge_test_1,df_edge_test_2,df_edge_test_3,df_edge_test_4])\n",
    "df_edge_test_pipeline1=df_edge_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_edge_test_pipeline1 = df_edge_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_edge_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "\n",
    "\n",
    "df_edge_test_pipeline1 = pd.concat([df_complex, df_edge_test_pipeline1], axis=1)\n",
    "df_edge_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_edge_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " MEAN MEMORY:  75094.70731944445\n",
      " MEAN TIME :  308.4976666666667\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "print(\" MEAN MEMORY: \",np.mean(df_edge_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\" MEAN TIME : \",np.mean(df_edge_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_edge_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.516584</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>258.302</td>\n",
       "      <td>55270.480</td>\n",
       "      <td>0.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>338.189</td>\n",
       "      <td>80732.895</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>437.601</td>\n",
       "      <td>110552.590</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>246.145</td>\n",
       "      <td>43914.680</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>151.566</td>\n",
       "      <td>35265.723</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>520.796</td>\n",
       "      <td>151870.590</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.590269</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>356.636</td>\n",
       "      <td>81101.656</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>118.301</td>\n",
       "      <td>24753.375</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>63.548</td>\n",
       "      <td>10466.676</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>223.390</td>\n",
       "      <td>55033.195</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>38.442</td>\n",
       "      <td>6416.324</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.443120</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>176.507</td>\n",
       "      <td>34378.750</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_edge_length  max_dimension  nb_iterations  elapsed_time   \n",
       "0          edge         0.516584              2              2       258.302  \\\n",
       "1          edge         0.575211              2              3       338.189   \n",
       "2          edge         0.649735              2              2       437.601   \n",
       "3          edge         0.425860              2              3       246.145   \n",
       "4          edge         0.439468              2              3       151.566   \n",
       "5          edge         0.746055              2              3       520.796   \n",
       "6          edge         0.590269              2              2       356.636   \n",
       "7          edge         0.358031              2              2       118.301   \n",
       "8          edge         0.284186              2              3        63.548   \n",
       "9          edge         0.512279              2              2       223.390   \n",
       "10         edge         0.190465              2              2        38.442   \n",
       "11         edge         0.443120              2              3       176.507   \n",
       "\n",
       "    elapsed_memory  test_accuracy  \n",
       "0        55270.480       0.714286  \n",
       "1        80732.895       0.666667  \n",
       "2       110552.590       0.666667  \n",
       "3        43914.680       0.666667  \n",
       "4        35265.723       0.666667  \n",
       "5       151870.590       0.666667  \n",
       "6        81101.656       0.619048  \n",
       "7        24753.375       0.619048  \n",
       "8        10466.676       0.619048  \n",
       "9        55033.195       0.619048  \n",
       "10        6416.324       0.619048  \n",
       "11       34378.750       0.619048  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "mask = df_edge_test_pipeline1['test_accuracy'] > 0.6\n",
    "columns_to_keep = ['complex_type', 'max_edge_length','max_dimension','nb_iterations', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "\n",
    "df_edge_test_pipeline1_filtered = df_edge_test_pipeline1[columns_to_keep]\n",
    "filtered_df = df_edge_test_pipeline1_filtered[mask]\n",
    "filtered_df  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "max_edge_length\n",
       "0.516584    1\n",
       "0.575211    1\n",
       "0.649735    1\n",
       "0.425860    1\n",
       "0.439468    1\n",
       "0.746055    1\n",
       "0.590269    1\n",
       "0.358031    1\n",
       "0.284186    1\n",
       "0.512279    1\n",
       "0.190465    1\n",
       "0.443120    1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "filtered_df['max_edge_length'].value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " MEAN MEMORY:  57479.7445\n",
      " MEAN TIME :  244.1185833333333\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "print(\" MEAN MEMORY: \",np.mean(filtered_df[\"elapsed_memory\"]))\n",
    "print(\" MEAN TIME : \",np.mean(filtered_df[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_edge_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for Edge Collapse Rips Complex : \n",
    "* Best accuracy: 0.714286\n",
    "* elapsed time for best acc: 258.302\t\n",
    "* Best persistence representations: Landscape\n",
    "* Best threshold: between 5th and 6th quantile\n",
    "* Mean of elapsed_time: 1173.497 S\n",
    "* Mean of elapsed_memory: 75028.74 MB\n",
    "* Best number of collapse: 2 and 3 \n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Rips Complex :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>sparse</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>15967.850</td>\n",
       "      <td>15956.725</td>\n",
       "      <td>0.001</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>13377.622</td>\n",
       "      <td>13365.973</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5325.229</td>\n",
       "      <td>5314.198</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1431.260</td>\n",
       "      <td>1419.355</td>\n",
       "      <td>0.001</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2859.286</td>\n",
       "      <td>2847.823</td>\n",
       "      <td>0.001</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2419.382</td>\n",
       "      <td>2407.623</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5469.453</td>\n",
       "      <td>5457.747</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>549.468</td>\n",
       "      <td>537.948</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1638.864</td>\n",
       "      <td>1627.371</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.573518</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7001.134</td>\n",
       "      <td>6990.006</td>\n",
       "      <td>0.001</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.355923</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2382.761</td>\n",
       "      <td>2371.131</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>20080.152</td>\n",
       "      <td>20068.511</td>\n",
       "      <td>0.001</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4639.547</td>\n",
       "      <td>4628.217</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>862.682</td>\n",
       "      <td>851.281</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>14514.367</td>\n",
       "      <td>14502.865</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9997.927</td>\n",
       "      <td>9986.256</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.648507</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9171.576</td>\n",
       "      <td>9160.492</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>10141.458</td>\n",
       "      <td>10130.096</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3685.818</td>\n",
       "      <td>3674.651</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1542.938</td>\n",
       "      <td>1531.734</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.731654</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12664.431</td>\n",
       "      <td>12653.282</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6536.873</td>\n",
       "      <td>6525.325</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.185702</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>889.486</td>\n",
       "      <td>877.688</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7116.080</td>\n",
       "      <td>7104.767</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1005.171</td>\n",
       "      <td>993.985</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.429650</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3646.665</td>\n",
       "      <td>3634.743</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188577</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>8.538</td>\n",
       "      <td>0.027</td>\n",
       "      <td>0.000</td>\n",
       "      <td>9</td>\n",
       "      <td>1.082</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16962.920</td>\n",
       "      <td>16951.887</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Scale...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_dimension sparse  max_edge_length   \n",
       "0          rips              2   None         0.836201  \\\n",
       "1          rips              2   None         0.732426   \n",
       "2          rips              2   None         0.501485   \n",
       "3          rips              2   None         0.277081   \n",
       "4          rips              2   None         0.439468   \n",
       "5          rips              2   None         0.358031   \n",
       "6          rips              2   None         0.503620   \n",
       "7          rips              2   None         0.190465   \n",
       "8          rips              2   None         0.364614   \n",
       "9          rips              2   None         0.573518   \n",
       "10         rips              2   None         0.355923   \n",
       "11         rips              2   None         0.851250   \n",
       "12         rips              2   None         0.512279   \n",
       "13         rips              2   None         0.284186   \n",
       "14         rips              2   None         0.746055   \n",
       "15         rips              2   None         0.649735   \n",
       "16         rips              2   None         0.648507   \n",
       "17         rips              2   None         0.661717   \n",
       "18         rips              2   None         0.431968   \n",
       "19         rips              2   None         0.278639   \n",
       "20         rips              2   None         0.731654   \n",
       "21         rips              2   None         0.585445   \n",
       "22         rips              2   None         0.185702   \n",
       "23         rips              2   None         0.575211   \n",
       "24         rips              2   None         0.186441   \n",
       "25         rips              2   None         0.429650   \n",
       "26         rips              2   None         0.188577   \n",
       "27         rips              2   None         0.836042   \n",
       "\n",
       "                                   complex_parameters  elapsed_time   \n",
       "0   {'complex_type': 'rips', 'max_dimension': 2, '...     15967.850  \\\n",
       "1   {'complex_type': 'rips', 'max_dimension': 2, '...     13377.622   \n",
       "2   {'complex_type': 'rips', 'max_dimension': 2, '...      5325.229   \n",
       "3   {'complex_type': 'rips', 'max_dimension': 2, '...      1431.260   \n",
       "4   {'complex_type': 'rips', 'max_dimension': 2, '...      2859.286   \n",
       "5   {'complex_type': 'rips', 'max_dimension': 2, '...      2419.382   \n",
       "6   {'complex_type': 'rips', 'max_dimension': 2, '...      5469.453   \n",
       "7   {'complex_type': 'rips', 'max_dimension': 2, '...       549.468   \n",
       "8   {'complex_type': 'rips', 'max_dimension': 2, '...      1638.864   \n",
       "9   {'complex_type': 'rips', 'max_dimension': 2, '...      7001.134   \n",
       "10  {'complex_type': 'rips', 'max_dimension': 2, '...      2382.761   \n",
       "11  {'complex_type': 'rips', 'max_dimension': 2, '...     20080.152   \n",
       "12  {'complex_type': 'rips', 'max_dimension': 2, '...      4639.547   \n",
       "13  {'complex_type': 'rips', 'max_dimension': 2, '...       862.682   \n",
       "14  {'complex_type': 'rips', 'max_dimension': 2, '...     14514.367   \n",
       "15  {'complex_type': 'rips', 'max_dimension': 2, '...      9997.927   \n",
       "16  {'complex_type': 'rips', 'max_dimension': 2, '...      9171.576   \n",
       "17  {'complex_type': 'rips', 'max_dimension': 2, '...     10141.458   \n",
       "18  {'complex_type': 'rips', 'max_dimension': 2, '...      3685.818   \n",
       "19  {'complex_type': 'rips', 'max_dimension': 2, '...      1542.938   \n",
       "20  {'complex_type': 'rips', 'max_dimension': 2, '...     12664.431   \n",
       "21  {'complex_type': 'rips', 'max_dimension': 2, '...      6536.873   \n",
       "22  {'complex_type': 'rips', 'max_dimension': 2, '...       889.486   \n",
       "23  {'complex_type': 'rips', 'max_dimension': 2, '...      7116.080   \n",
       "24  {'complex_type': 'rips', 'max_dimension': 2, '...      1005.171   \n",
       "25  {'complex_type': 'rips', 'max_dimension': 2, '...      3646.665   \n",
       "26  {'complex_type': 'rips', 'max_dimension': 2, '...         8.538   \n",
       "27  {'complex_type': 'rips', 'max_dimension': 2, '...     16962.920   \n",
       "\n",
       "    time for diagram computation  time for pipeline creation   \n",
       "0                      15956.725                       0.001  \\\n",
       "1                      13365.973                       0.000   \n",
       "2                       5314.198                       0.000   \n",
       "3                       1419.355                       0.001   \n",
       "4                       2847.823                       0.001   \n",
       "5                       2407.623                       0.000   \n",
       "6                       5457.747                       0.000   \n",
       "7                        537.948                       0.000   \n",
       "8                       1627.371                       0.000   \n",
       "9                       6990.006                       0.001   \n",
       "10                      2371.131                       0.000   \n",
       "11                     20068.511                       0.001   \n",
       "12                      4628.217                       0.000   \n",
       "13                       851.281                       0.000   \n",
       "14                     14502.865                       0.000   \n",
       "15                      9986.256                       0.000   \n",
       "16                      9160.492                       0.000   \n",
       "17                     10130.096                       0.000   \n",
       "18                      3674.651                       0.000   \n",
       "19                      1531.734                       0.000   \n",
       "20                     12653.282                       0.000   \n",
       "21                      6525.325                       0.000   \n",
       "22                       877.688                       0.000   \n",
       "23                      7104.767                       0.000   \n",
       "24                       993.985                       0.000   \n",
       "25                      3634.743                       0.000   \n",
       "26                         0.027                       0.000   \n",
       "27                     16951.887                       0.000   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                      11             inf  \\\n",
       "1                                      12             inf   \n",
       "2                                      11             inf   \n",
       "3                                      12             inf   \n",
       "4                                      11             inf   \n",
       "5                                      12             inf   \n",
       "6                                      12             inf   \n",
       "7                                      12             inf   \n",
       "8                                      11             inf   \n",
       "9                                      11             inf   \n",
       "10                                     12             inf   \n",
       "11                                     12             inf   \n",
       "12                                     11             inf   \n",
       "13                                     11             inf   \n",
       "14                                     12             inf   \n",
       "15                                     12             inf   \n",
       "16                                     11             inf   \n",
       "17                                     11             inf   \n",
       "18                                     11             inf   \n",
       "19                                     11             inf   \n",
       "20                                     11             inf   \n",
       "21                                     12             inf   \n",
       "22                                     12             inf   \n",
       "23                                     11             inf   \n",
       "24                                     11             inf   \n",
       "25                                     12             inf   \n",
       "26                                      9           1.082   \n",
       "27                                     11             inf   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                              inf                           0.0  \\\n",
       "1                              inf                           0.0   \n",
       "2                              inf                           0.0   \n",
       "3                              inf                           0.0   \n",
       "4                              inf                           0.0   \n",
       "5                              inf                           0.0   \n",
       "6                              inf                           0.0   \n",
       "7                              inf                           0.0   \n",
       "8                              inf                           0.0   \n",
       "9                              inf                           0.0   \n",
       "10                             inf                           0.0   \n",
       "11                             inf                           0.0   \n",
       "12                             inf                           0.0   \n",
       "13                             inf                           0.0   \n",
       "14                             inf                           0.0   \n",
       "15                             inf                           0.0   \n",
       "16                             inf                           0.0   \n",
       "17                             inf                           0.0   \n",
       "18                             inf                           0.0   \n",
       "19                             inf                           0.0   \n",
       "20                             inf                           0.0   \n",
       "21                             inf                           0.0   \n",
       "22                             inf                           0.0   \n",
       "23                             inf                           0.0   \n",
       "24                             inf                           0.0   \n",
       "25                             inf                           0.0   \n",
       "26                             0.0                           0.0   \n",
       "27                             inf                           0.0   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                         0       0.761905  \\\n",
       "1                                         0       0.714286   \n",
       "2                                         0       0.666667   \n",
       "3                                         0       0.666667   \n",
       "4                                         0       0.666667   \n",
       "5                                         0       0.619048   \n",
       "6                                         1       0.619048   \n",
       "7                                         1       0.619048   \n",
       "8                                         0       0.571429   \n",
       "9                                         0       0.571429   \n",
       "10                                        0       0.571429   \n",
       "11                                        0       0.571429   \n",
       "12                                        1       0.571429   \n",
       "13                                        0       0.571429   \n",
       "14                                        1       0.523810   \n",
       "15                                        0       0.523810   \n",
       "16                                        0       0.523810   \n",
       "17                                        0       0.476190   \n",
       "18                                        0       0.476190   \n",
       "19                                        0       0.476190   \n",
       "20                                        0       0.476190   \n",
       "21                                        0       0.428571   \n",
       "22                                        1       0.428571   \n",
       "23                                        0       0.428571   \n",
       "24                                        1       0.333333   \n",
       "25                                        1       0.333333   \n",
       "26                                        1       0.333333   \n",
       "27                                        0       0.285714   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "12  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "13  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "14  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "15  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "16  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "17  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "18  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "19  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "20  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "21  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "22  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "23  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "24  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "25  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "26  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  \n",
       "27  {'Estimator': RandomForestClassifier(), 'Scale...   RandomForestClassifier  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rips_test_1=pd.read_csv(\"results_rips.csv\")\n",
    "df_rips_test_2=pd.read_csv(\"resultsrips_6245.csv\")\n",
    "df_rips_test_3=pd.read_csv(\"resultsrips_625.csv\")\n",
    "df_rips_test_4=pd.read_csv(\"resultsrips_62588.csv\")\n",
    "df_rips_test_pipeline1=pd.concat([df_rips_test_1,df_rips_test_2,df_rips_test_3,df_rips_test_4])\n",
    "df_rips_test_pipeline1=df_rips_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_rips_test_pipeline1 = df_rips_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_rips_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "df_rips_test_pipeline1 = pd.concat([df_complex, df_rips_test_pipeline1], axis=1)\n",
    "df_rips_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "\n",
    "df_rips_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inf\n",
      "5924.94375\n",
      "max_edge_length\n",
      "0.836201    1\n",
      "0.732426    1\n",
      "0.501485    1\n",
      "0.277081    1\n",
      "0.439468    1\n",
      "0.358031    1\n",
      "0.503620    1\n",
      "0.190465    1\n",
      "Name: count, dtype: int64\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n"
     ]
    }
   ],
   "source": [
    "mask = df_rips_test_pipeline1['test_accuracy'] > 0.6\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_rips_test_pipeline1[mask]\n",
    "print(np.mean(filtered_df[\"elapsed_memory\"]))\n",
    "print(np.mean(filtered_df[\"elapsed_time\"]))\n",
    "print (filtered_df['max_edge_length'].value_counts())\n",
    "\n",
    "for e in filtered_df['best parameters for the complex']:\n",
    "    print(e)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>15967.850</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>13377.622</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>5325.229</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>1431.260</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>2859.286</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>2419.382</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>5469.453</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>549.468</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  complex_type  max_edge_length  elapsed_time  elapsed_memory  test_accuracy\n",
       "0         rips         0.836201     15967.850             inf       0.761905\n",
       "1         rips         0.732426     13377.622             inf       0.714286\n",
       "2         rips         0.501485      5325.229             inf       0.666667\n",
       "3         rips         0.277081      1431.260             inf       0.666667\n",
       "4         rips         0.439468      2859.286             inf       0.666667\n",
       "5         rips         0.358031      2419.382             inf       0.619048\n",
       "6         rips         0.503620      5469.453             inf       0.619048\n",
       "7         rips         0.190465       549.468             inf       0.619048"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "mask = df_rips_test_pipeline1['test_accuracy'] > 0.6\n",
    "columns_to_keep = ['complex_type', 'max_edge_length', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "df_edge_test_pipeline1_filtered = df_rips_test_pipeline1[columns_to_keep]\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_edge_test_pipeline1_filtered[mask]\n",
    "filtered_df  \n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  results for  Rips Complex :\n",
    "* Best accuracy: 0.761905\n",
    "* elapsed time for best acc: 15967.850\t\n",
    "* Best persistence representations: Persistence Image\n",
    "* Best threshold: NA\n",
    "* Mean of elapsed_time: 5924.94375 S\n",
    "* Mean of elapsed_memory: inf MB\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Third Test : RandomForestClassifier Hyperparameters Tuning"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pipeline: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = Pipeline([(\"Separator\", gd.representations.DiagramSelector(limit=np.inf, point_type=\"finite\")),\n",
    "                    (\"Scaler\",    gd.representations.DiagramScaler(scalers=[([0,1], MinMaxScaler())])),\n",
    "                    (\"TDA\",       gd.representations.PersistenceImage()),\n",
    "                    (\"Estimator\", RandomForestClassifier())])\n",
    "\n",
    "param =    [\n",
    "                                \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.Landscape()], \n",
    "                \"TDA__resolution\":     [100],\n",
    "                \"Estimator\":           [RandomForestClassifier()],\n",
    "                \"Estimator\": [RandomForestClassifier()],\n",
    "               \"Estimator__n_estimators\": [50, 100, 200],\n",
    "                \"Estimator__max_depth\": [None, 5, 10],\n",
    "                \"Estimator__min_samples_split\": [2, 5, 10],\n",
    "                \"Estimator__min_samples_leaf\": [1, 2, 4]},\n",
    "            \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.PersistenceImage()], \n",
    "                \"TDA__resolution\":     [ [5,5], [6,6] ],\n",
    "                \"TDA__bandwidth\":      [0.01, 0.1, 1.0, 10.0],\n",
    "                \"Estimator\":           [RandomForestClassifier()],\n",
    "                \"Estimator__n_estimators\": [50, 100, 200],\n",
    "                \"Estimator__max_depth\": [None, 5, 10],\n",
    "                \"Estimator__min_samples_split\": [2, 5, 10],\n",
    "                \"Estimator__min_samples_leaf\": [1, 2, 4]},\n",
    "            ]\n",
    "\n",
    "model = GridSearchCV(pipe, param, cv=4, error_score='raise')    "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Alpha Complex :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1390.002</td>\n",
       "      <td>2.451</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1388</td>\n",
       "      <td>24.684</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1522.215</td>\n",
       "      <td>2.294</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1520</td>\n",
       "      <td>4.359</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1537.387</td>\n",
       "      <td>8.572</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1529</td>\n",
       "      <td>2.895</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1527.480</td>\n",
       "      <td>2.409</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1525</td>\n",
       "      <td>2.039</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1478.673</td>\n",
       "      <td>2.329</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1476</td>\n",
       "      <td>2.527</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1470.563</td>\n",
       "      <td>2.644</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1468</td>\n",
       "      <td>15.801</td>\n",
       "      <td>1.508</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1530.352</td>\n",
       "      <td>2.530</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1528</td>\n",
       "      <td>13.410</td>\n",
       "      <td>1.520</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1161.026</td>\n",
       "      <td>8.810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1152</td>\n",
       "      <td>0.453</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1986.921</td>\n",
       "      <td>2.324</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1985</td>\n",
       "      <td>2.504</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1562.842</td>\n",
       "      <td>2.480</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1560</td>\n",
       "      <td>13.355</td>\n",
       "      <td>1.488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1523.878</td>\n",
       "      <td>8.610</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1515</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1538.945</td>\n",
       "      <td>2.316</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1537</td>\n",
       "      <td>0.031</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1504.587</td>\n",
       "      <td>9.044</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1496</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1538.717</td>\n",
       "      <td>2.849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1536</td>\n",
       "      <td>9.852</td>\n",
       "      <td>1.535</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1473.822</td>\n",
       "      <td>8.741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1465</td>\n",
       "      <td>2.082</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1391.146</td>\n",
       "      <td>8.786</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1382</td>\n",
       "      <td>5.066</td>\n",
       "      <td>0.441</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1834.864</td>\n",
       "      <td>2.556</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1832</td>\n",
       "      <td>11.184</td>\n",
       "      <td>1.516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1474.027</td>\n",
       "      <td>8.916</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1465</td>\n",
       "      <td>24.574</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1525.255</td>\n",
       "      <td>2.439</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1523</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1467.000</td>\n",
       "      <td>2.574</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1464</td>\n",
       "      <td>13.414</td>\n",
       "      <td>1.531</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1131.558</td>\n",
       "      <td>2.435</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1129</td>\n",
       "      <td>11.402</td>\n",
       "      <td>1.473</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type precision                               complex_parameters   \n",
       "0         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}  \\\n",
       "1         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "2         alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "3         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "4         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "5         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "6         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "7         alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "8         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "9         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "10        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "11        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "12        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "13        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "14        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "15        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "16        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "17        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "18        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "19        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "20        alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "\n",
       "    elapsed_time  time for diagram computation  time for pipeline creation   \n",
       "0       1390.002                         2.451                         0.0  \\\n",
       "1       1522.215                         2.294                         0.0   \n",
       "2       1537.387                         8.572                         0.0   \n",
       "3       1527.480                         2.409                         0.0   \n",
       "4       1478.673                         2.329                         0.0   \n",
       "5       1470.563                         2.644                         0.0   \n",
       "6       1530.352                         2.530                         0.0   \n",
       "7       1161.026                         8.810                         0.0   \n",
       "8       1986.921                         2.324                         0.0   \n",
       "9       1562.842                         2.480                         0.0   \n",
       "10      1523.878                         8.610                         0.0   \n",
       "11      1538.945                         2.316                         0.0   \n",
       "12      1504.587                         9.044                         0.0   \n",
       "13      1538.717                         2.849                         0.0   \n",
       "14      1473.822                         8.741                         0.0   \n",
       "15      1391.146                         8.786                         0.0   \n",
       "16      1834.864                         2.556                         0.0   \n",
       "17      1474.027                         8.916                         0.0   \n",
       "18      1525.255                         2.439                         0.0   \n",
       "19      1467.000                         2.574                         0.0   \n",
       "20      1131.558                         2.435                         0.0   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                    1388          24.684  \\\n",
       "1                                    1520           4.359   \n",
       "2                                    1529           2.895   \n",
       "3                                    1525           2.039   \n",
       "4                                    1476           2.527   \n",
       "5                                    1468          15.801   \n",
       "6                                    1528          13.410   \n",
       "7                                    1152           0.453   \n",
       "8                                    1985           2.504   \n",
       "9                                    1560          13.355   \n",
       "10                                   1515           0.070   \n",
       "11                                   1537           0.031   \n",
       "12                                   1496           0.512   \n",
       "13                                   1536           9.852   \n",
       "14                                   1465           2.082   \n",
       "15                                   1382           5.066   \n",
       "16                                   1832          11.184   \n",
       "17                                   1465          24.574   \n",
       "18                                   1523           0.035   \n",
       "19                                   1464          13.414   \n",
       "20                                   1129          11.402   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                            0.000                           0.0  \\\n",
       "1                            0.000                           0.0   \n",
       "2                            0.000                           0.0   \n",
       "3                            0.000                           0.0   \n",
       "4                            0.000                           0.0   \n",
       "5                            1.508                           0.0   \n",
       "6                            1.520                           0.0   \n",
       "7                            0.000                           0.0   \n",
       "8                            0.000                           0.0   \n",
       "9                            1.488                           0.0   \n",
       "10                           0.000                           0.0   \n",
       "11                           0.000                           0.0   \n",
       "12                           0.000                           0.0   \n",
       "13                           1.535                           0.0   \n",
       "14                           0.000                           0.0   \n",
       "15                           0.441                           0.0   \n",
       "16                           1.516                           0.0   \n",
       "17                           0.000                           0.0   \n",
       "18                           0.000                           0.0   \n",
       "19                           1.531                           0.0   \n",
       "20                           1.473                           0.0   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                        25       0.619048  \\\n",
       "1                                         4       0.619048   \n",
       "2                                         3       0.619048   \n",
       "3                                         2       0.571429   \n",
       "4                                         3       0.571429   \n",
       "5                                        14       0.523810   \n",
       "6                                        12       0.523810   \n",
       "7                                         0       0.523810   \n",
       "8                                         3       0.523810   \n",
       "9                                        12       0.523810   \n",
       "10                                        0       0.523810   \n",
       "11                                        0       0.523810   \n",
       "12                                        1       0.428571   \n",
       "13                                        8       0.428571   \n",
       "14                                        2       0.428571   \n",
       "15                                        5       0.428571   \n",
       "16                                       10       0.380952   \n",
       "17                                       25       0.380952   \n",
       "18                                        0       0.380952   \n",
       "19                                       12       0.333333   \n",
       "20                                       10       0.047619   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "12  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "13  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "14  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "15  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "16  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "17  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "18  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "19  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "20  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_alpha_test_1=pd.read_csv(\"results2alpha_6245.csv\")\n",
    "df_alpha_test_2=pd.read_csv(\"results2alpha_625.csv\")\n",
    "df_alpha_test_3=pd.read_csv(\"results2alpha_62588.csv\")\n",
    "df_alpha_test_4=pd.read_csv(\"results2alpha_6255558.csv\")\n",
    "df_alpha_test_5=pd.read_csv(\"results2alpha_621238.csv\")\n",
    "df_alpha_test_6=pd.read_csv(\"results2alpha_99846.csv\")\n",
    "df_alpha_test_7=pd.read_csv(\"results2alpha_9986.csv\")\n",
    "\n",
    "df_alpha_test_pipeline1=pd.concat([df_alpha_test_1,df_alpha_test_2,df_alpha_test_3,df_alpha_test_4,df_alpha_test_5,df_alpha_test_6,df_alpha_test_7])\n",
    "df_alpha_test_pipeline1=df_alpha_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_alpha_test_pipeline1 = df_alpha_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_alpha_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "df_alpha_test_pipeline1 = pd.concat([df_complex, df_alpha_test_pipeline1], axis=1)\n",
    "df_alpha_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_alpha_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Mean memory : 7.630904761904761\n",
      " Mean time : 1503.3933333333334\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=4, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=200), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=5), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=5), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "print(\" Mean memory :\",np.mean(df_alpha_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\" Mean time :\",np.mean(df_alpha_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_alpha_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)\n",
    "    print(\"---------------------------------------------------------------------------------------------------------------\")\n",
    "    print(\"---------------------------------------------------------------------------------------------------------------\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10.645999999999999\n",
      "1483.2013333333332\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "mask = df_alpha_test_pipeline1['test_accuracy'] > 0.6\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_alpha_test_pipeline1[mask]\n",
    "print(np.mean(filtered_df[\"elapsed_memory\"]))\n",
    "print(np.mean(filtered_df[\"elapsed_time\"]))\n",
    "\n",
    "for e in filtered_df['best parameters for the complex']:\n",
    "    print(e)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1390.002</td>\n",
       "      <td>24.684</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1522.215</td>\n",
       "      <td>4.359</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>1537.387</td>\n",
       "      <td>2.895</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  complex_type precision  elapsed_time  elapsed_memory  test_accuracy\n",
       "0        alpha      safe      1390.002          24.684       0.619048\n",
       "1        alpha      safe      1522.215           4.359       0.619048\n",
       "2        alpha     exact      1537.387           2.895       0.619048"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "mask = df_alpha_test_pipeline1['test_accuracy'] > 0.6\n",
    "columns_to_keep = ['complex_type', 'precision', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "df_alpha_test_pipeline1_filtered = df_alpha_test_pipeline1[columns_to_keep]\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_alpha_test_pipeline1_filtered[mask]\n",
    "filtered_df  "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for Alpha Complex: \n",
    "\n",
    "* Best persistence representations: Persistence Image\n",
    "* Best precision: exact\n",
    "* Mean of elapsed_time: 38.645222\n",
    "* Mean of elapsed_memory: 3.878 MB\n",
    "* Best test accuracy: 0.619048\n",
    "* Best elapsed time for best acc: 29.435 seconds\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edge Collapse Rips Complex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>sparse</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>924.289</td>\n",
       "      <td>95.649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>24812.172</td>\n",
       "      <td>24812.156</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1236.627</td>\n",
       "      <td>393.697</td>\n",
       "      <td>0.0</td>\n",
       "      <td>843</td>\n",
       "      <td>112081.469</td>\n",
       "      <td>112081.469</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1172.248</td>\n",
       "      <td>296.413</td>\n",
       "      <td>0.0</td>\n",
       "      <td>876</td>\n",
       "      <td>80295.172</td>\n",
       "      <td>80295.172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1293.219</td>\n",
       "      <td>306.695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>987</td>\n",
       "      <td>62795.770</td>\n",
       "      <td>62795.770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.761905</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.668441</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1596.168</td>\n",
       "      <td>484.891</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1111</td>\n",
       "      <td>113415.434</td>\n",
       "      <td>113415.434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1233.926</td>\n",
       "      <td>393.445</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>116561.141</td>\n",
       "      <td>116561.141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>926.261</td>\n",
       "      <td>87.496</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>20598.227</td>\n",
       "      <td>20598.148</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1182.370</td>\n",
       "      <td>196.478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>986</td>\n",
       "      <td>29931.305</td>\n",
       "      <td>29931.305</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1414.106</td>\n",
       "      <td>571.659</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>155012.613</td>\n",
       "      <td>155012.613</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1555.586</td>\n",
       "      <td>567.028</td>\n",
       "      <td>0.0</td>\n",
       "      <td>989</td>\n",
       "      <td>154611.320</td>\n",
       "      <td>154611.320</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1034.109</td>\n",
       "      <td>207.007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>827</td>\n",
       "      <td>57096.082</td>\n",
       "      <td>57096.078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1457.967</td>\n",
       "      <td>617.259</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>198953.895</td>\n",
       "      <td>198953.895</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1237.675</td>\n",
       "      <td>392.785</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845</td>\n",
       "      <td>116556.375</td>\n",
       "      <td>116556.375</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.355923</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>969.423</td>\n",
       "      <td>109.010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>860</td>\n",
       "      <td>24104.117</td>\n",
       "      <td>24103.898</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>889.316</td>\n",
       "      <td>48.072</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>10451.992</td>\n",
       "      <td>10451.992</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.858712</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1885.815</td>\n",
       "      <td>781.571</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1104</td>\n",
       "      <td>205436.926</td>\n",
       "      <td>205436.926</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1095.164</td>\n",
       "      <td>211.688</td>\n",
       "      <td>0.0</td>\n",
       "      <td>883</td>\n",
       "      <td>55036.301</td>\n",
       "      <td>55036.297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.858712</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1880.667</td>\n",
       "      <td>774.372</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1106</td>\n",
       "      <td>205246.816</td>\n",
       "      <td>205246.816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1051.579</td>\n",
       "      <td>221.742</td>\n",
       "      <td>0.0</td>\n",
       "      <td>830</td>\n",
       "      <td>57208.250</td>\n",
       "      <td>57208.250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>935.718</td>\n",
       "      <td>69.420</td>\n",
       "      <td>0.0</td>\n",
       "      <td>866</td>\n",
       "      <td>9664.074</td>\n",
       "      <td>9664.074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.517931</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1354.568</td>\n",
       "      <td>258.059</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1097</td>\n",
       "      <td>54687.297</td>\n",
       "      <td>54687.297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.741360</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1359.259</td>\n",
       "      <td>514.049</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845</td>\n",
       "      <td>153521.730</td>\n",
       "      <td>153521.730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.731654</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1341.635</td>\n",
       "      <td>498.413</td>\n",
       "      <td>0.0</td>\n",
       "      <td>843</td>\n",
       "      <td>149649.023</td>\n",
       "      <td>149649.023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1300.524</td>\n",
       "      <td>471.123</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>148420.855</td>\n",
       "      <td>148420.855</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1107.605</td>\n",
       "      <td>281.357</td>\n",
       "      <td>0.0</td>\n",
       "      <td>826</td>\n",
       "      <td>80750.793</td>\n",
       "      <td>80750.793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.579512</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1156.686</td>\n",
       "      <td>314.918</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>83584.953</td>\n",
       "      <td>83584.953</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1035.554</td>\n",
       "      <td>206.759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>57096.766</td>\n",
       "      <td>57096.766</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.844886</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1817.183</td>\n",
       "      <td>776.427</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1041</td>\n",
       "      <td>192692.906</td>\n",
       "      <td>192692.906</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.370012</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>922.653</td>\n",
       "      <td>78.809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>17419.137</td>\n",
       "      <td>17419.137</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.580863</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1425.537</td>\n",
       "      <td>388.220</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1037</td>\n",
       "      <td>72631.516</td>\n",
       "      <td>72631.516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1341.077</td>\n",
       "      <td>502.853</td>\n",
       "      <td>0.0</td>\n",
       "      <td>838</td>\n",
       "      <td>151835.676</td>\n",
       "      <td>151835.676</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.446094</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>980.773</td>\n",
       "      <td>137.349</td>\n",
       "      <td>0.0</td>\n",
       "      <td>843</td>\n",
       "      <td>35054.512</td>\n",
       "      <td>35054.512</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.436307</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1044.829</td>\n",
       "      <td>174.291</td>\n",
       "      <td>0.0</td>\n",
       "      <td>871</td>\n",
       "      <td>37129.496</td>\n",
       "      <td>37129.496</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.738313</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1350.239</td>\n",
       "      <td>508.383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>153226.094</td>\n",
       "      <td>153226.094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.731654</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1324.688</td>\n",
       "      <td>495.786</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>149573.043</td>\n",
       "      <td>149573.043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.436307</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1044.342</td>\n",
       "      <td>174.686</td>\n",
       "      <td>0.0</td>\n",
       "      <td>870</td>\n",
       "      <td>37320.516</td>\n",
       "      <td>37320.516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.361818</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1179.327</td>\n",
       "      <td>142.602</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1037</td>\n",
       "      <td>9184.172</td>\n",
       "      <td>9016.863</td>\n",
       "      <td>0.0</td>\n",
       "      <td>167</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.842572</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1464.869</td>\n",
       "      <td>625.718</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>203449.195</td>\n",
       "      <td>203449.195</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.642946</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1454.146</td>\n",
       "      <td>468.967</td>\n",
       "      <td>0.0</td>\n",
       "      <td>985</td>\n",
       "      <td>117023.844</td>\n",
       "      <td>117023.844</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.654961</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1242.175</td>\n",
       "      <td>403.655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>114475.246</td>\n",
       "      <td>114475.246</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.863527</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1466.258</td>\n",
       "      <td>625.994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>210138.504</td>\n",
       "      <td>210138.504</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.863527</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1462.818</td>\n",
       "      <td>623.407</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>210132.516</td>\n",
       "      <td>210132.516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1064.566</td>\n",
       "      <td>224.581</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>57143.152</td>\n",
       "      <td>57143.152</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.446094</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>979.184</td>\n",
       "      <td>135.038</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>33237.219</td>\n",
       "      <td>33237.219</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.593858</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1135.097</td>\n",
       "      <td>293.966</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>83077.016</td>\n",
       "      <td>83077.016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>923.757</td>\n",
       "      <td>95.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>828</td>\n",
       "      <td>24737.168</td>\n",
       "      <td>24737.164</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.355923</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>948.414</td>\n",
       "      <td>110.214</td>\n",
       "      <td>0.0</td>\n",
       "      <td>838</td>\n",
       "      <td>24282.863</td>\n",
       "      <td>24258.680</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>869.214</td>\n",
       "      <td>25.562</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>6739.863</td>\n",
       "      <td>6737.789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1303.444</td>\n",
       "      <td>471.079</td>\n",
       "      <td>0.0</td>\n",
       "      <td>832</td>\n",
       "      <td>148390.031</td>\n",
       "      <td>148390.031</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.505314</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1319.274</td>\n",
       "      <td>273.297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1046</td>\n",
       "      <td>57997.188</td>\n",
       "      <td>57997.188</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1380.904</td>\n",
       "      <td>498.296</td>\n",
       "      <td>0.0</td>\n",
       "      <td>883</td>\n",
       "      <td>151836.000</td>\n",
       "      <td>151836.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>890.725</td>\n",
       "      <td>60.522</td>\n",
       "      <td>0.0</td>\n",
       "      <td>830</td>\n",
       "      <td>15269.039</td>\n",
       "      <td>15269.039</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.841716</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1803.788</td>\n",
       "      <td>755.917</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1048</td>\n",
       "      <td>201746.480</td>\n",
       "      <td>201746.480</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.841716</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1805.595</td>\n",
       "      <td>753.188</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1052</td>\n",
       "      <td>201806.984</td>\n",
       "      <td>201806.984</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1196.177</td>\n",
       "      <td>368.821</td>\n",
       "      <td>0.0</td>\n",
       "      <td>827</td>\n",
       "      <td>110554.168</td>\n",
       "      <td>110554.168</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.429650</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>989.167</td>\n",
       "      <td>158.336</td>\n",
       "      <td>0.0</td>\n",
       "      <td>831</td>\n",
       "      <td>38172.445</td>\n",
       "      <td>38172.207</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1344.885</td>\n",
       "      <td>501.136</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>158211.180</td>\n",
       "      <td>158211.180</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>878.971</td>\n",
       "      <td>34.750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>1081.973</td>\n",
       "      <td>1081.973</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1467.357</td>\n",
       "      <td>360.616</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1107</td>\n",
       "      <td>80883.328</td>\n",
       "      <td>80883.328</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.518516</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>715.100</td>\n",
       "      <td>127.062</td>\n",
       "      <td>0.0</td>\n",
       "      <td>588</td>\n",
       "      <td>55164.934</td>\n",
       "      <td>55164.934</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.368927</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>638.581</td>\n",
       "      <td>51.619</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>19373.996</td>\n",
       "      <td>19373.996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.508464</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1329.824</td>\n",
       "      <td>292.237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1038</td>\n",
       "      <td>46113.055</td>\n",
       "      <td>46113.055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.754678</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>886.082</td>\n",
       "      <td>296.748</td>\n",
       "      <td>0.0</td>\n",
       "      <td>589</td>\n",
       "      <td>154812.129</td>\n",
       "      <td>154812.129</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>925.813</td>\n",
       "      <td>86.778</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>20563.234</td>\n",
       "      <td>20563.234</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>937.624</td>\n",
       "      <td>51.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>887</td>\n",
       "      <td>10438.812</td>\n",
       "      <td>10438.812</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.593858</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1131.435</td>\n",
       "      <td>292.858</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>83057.492</td>\n",
       "      <td>83057.492</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1229.475</td>\n",
       "      <td>239.429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>990</td>\n",
       "      <td>23165.777</td>\n",
       "      <td>23165.777</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.754678</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>884.151</td>\n",
       "      <td>296.745</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>154791.887</td>\n",
       "      <td>154791.887</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>979.881</td>\n",
       "      <td>139.945</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>35241.930</td>\n",
       "      <td>35241.930</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>881.710</td>\n",
       "      <td>38.080</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>6608.902</td>\n",
       "      <td>6608.902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.184333</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1118.755</td>\n",
       "      <td>125.282</td>\n",
       "      <td>0.0</td>\n",
       "      <td>993</td>\n",
       "      <td>14011.230</td>\n",
       "      <td>14011.227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282771</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>951.099</td>\n",
       "      <td>76.189</td>\n",
       "      <td>0.0</td>\n",
       "      <td>875</td>\n",
       "      <td>8095.117</td>\n",
       "      <td>8095.117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.280349</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1124.842</td>\n",
       "      <td>79.177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1046</td>\n",
       "      <td>10813.609</td>\n",
       "      <td>10813.609</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.280349</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1125.457</td>\n",
       "      <td>78.621</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1047</td>\n",
       "      <td>10933.590</td>\n",
       "      <td>10933.590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1463.707</td>\n",
       "      <td>627.156</td>\n",
       "      <td>0.0</td>\n",
       "      <td>837</td>\n",
       "      <td>202612.184</td>\n",
       "      <td>202612.184</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.573518</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1131.447</td>\n",
       "      <td>300.536</td>\n",
       "      <td>0.0</td>\n",
       "      <td>831</td>\n",
       "      <td>81317.309</td>\n",
       "      <td>81317.309</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.508464</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1323.132</td>\n",
       "      <td>284.365</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1039</td>\n",
       "      <td>38448.348</td>\n",
       "      <td>38309.129</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>874.668</td>\n",
       "      <td>34.927</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>9070.219</td>\n",
       "      <td>9070.215</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188862</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>904.990</td>\n",
       "      <td>62.710</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>10332.430</td>\n",
       "      <td>10330.371</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.519768</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1053.956</td>\n",
       "      <td>209.463</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>56150.047</td>\n",
       "      <td>56150.047</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.360889</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>972.089</td>\n",
       "      <td>124.693</td>\n",
       "      <td>0.0</td>\n",
       "      <td>847</td>\n",
       "      <td>26085.027</td>\n",
       "      <td>26085.027</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.508263</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1134.797</td>\n",
       "      <td>243.527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>891</td>\n",
       "      <td>56992.590</td>\n",
       "      <td>56992.590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191933</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1130.077</td>\n",
       "      <td>27.168</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1103</td>\n",
       "      <td>2808.344</td>\n",
       "      <td>2806.305</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.736641</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1654.165</td>\n",
       "      <td>607.369</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1047</td>\n",
       "      <td>152045.648</td>\n",
       "      <td>152045.648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.753060</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1734.282</td>\n",
       "      <td>622.747</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1112</td>\n",
       "      <td>154038.434</td>\n",
       "      <td>154038.434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.753060</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1735.655</td>\n",
       "      <td>622.926</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1113</td>\n",
       "      <td>153971.562</td>\n",
       "      <td>153971.562</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.359638</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1180.524</td>\n",
       "      <td>128.667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1052</td>\n",
       "      <td>24117.215</td>\n",
       "      <td>24117.215</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.580828</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1181.691</td>\n",
       "      <td>330.051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>852</td>\n",
       "      <td>82314.281</td>\n",
       "      <td>82288.281</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.189922</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>940.668</td>\n",
       "      <td>55.025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>886</td>\n",
       "      <td>7124.402</td>\n",
       "      <td>7124.398</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.435037</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1016.814</td>\n",
       "      <td>174.889</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>40235.102</td>\n",
       "      <td>40235.102</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.842572</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1471.542</td>\n",
       "      <td>629.769</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>203248.742</td>\n",
       "      <td>203248.742</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.738313</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1347.878</td>\n",
       "      <td>508.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>153408.516</td>\n",
       "      <td>153408.516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.654961</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1247.722</td>\n",
       "      <td>406.802</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>114582.113</td>\n",
       "      <td>114582.113</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.579512</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1154.335</td>\n",
       "      <td>314.055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>83800.230</td>\n",
       "      <td>83800.230</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.507096</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1076.424</td>\n",
       "      <td>238.293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>838</td>\n",
       "      <td>59299.125</td>\n",
       "      <td>59299.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.435037</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1016.552</td>\n",
       "      <td>175.624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>40096.086</td>\n",
       "      <td>40096.086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.508263</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1114.807</td>\n",
       "      <td>241.485</td>\n",
       "      <td>0.0</td>\n",
       "      <td>873</td>\n",
       "      <td>55044.926</td>\n",
       "      <td>55044.926</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.669769</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>819.922</td>\n",
       "      <td>233.361</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>113981.348</td>\n",
       "      <td>113981.348</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.648507</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1236.928</td>\n",
       "      <td>392.952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>111613.461</td>\n",
       "      <td>111613.461</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.368927</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>638.782</td>\n",
       "      <td>51.680</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>19358.484</td>\n",
       "      <td>19358.484</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1196.465</td>\n",
       "      <td>368.023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>828</td>\n",
       "      <td>110513.594</td>\n",
       "      <td>110513.594</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1416.704</td>\n",
       "      <td>589.245</td>\n",
       "      <td>0.0</td>\n",
       "      <td>827</td>\n",
       "      <td>197741.914</td>\n",
       "      <td>197741.914</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1044.245</td>\n",
       "      <td>205.604</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>55116.930</td>\n",
       "      <td>55116.930</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1230.654</td>\n",
       "      <td>393.805</td>\n",
       "      <td>0.0</td>\n",
       "      <td>837</td>\n",
       "      <td>112068.855</td>\n",
       "      <td>112068.855</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1457.290</td>\n",
       "      <td>615.772</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>198867.637</td>\n",
       "      <td>198867.637</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.740374</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1660.190</td>\n",
       "      <td>620.059</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1040</td>\n",
       "      <td>132897.203</td>\n",
       "      <td>132757.129</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.656545</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1526.017</td>\n",
       "      <td>491.961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1034</td>\n",
       "      <td>93950.840</td>\n",
       "      <td>93810.910</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1316.753</td>\n",
       "      <td>326.538</td>\n",
       "      <td>0.0</td>\n",
       "      <td>990</td>\n",
       "      <td>63007.887</td>\n",
       "      <td>63007.887</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.580863</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1420.509</td>\n",
       "      <td>381.043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1039</td>\n",
       "      <td>63134.941</td>\n",
       "      <td>62996.254</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.192428</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>600.223</td>\n",
       "      <td>9.435</td>\n",
       "      <td>0.0</td>\n",
       "      <td>591</td>\n",
       "      <td>1374.594</td>\n",
       "      <td>1372.520</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.517931</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1369.046</td>\n",
       "      <td>262.132</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1107</td>\n",
       "      <td>54730.820</td>\n",
       "      <td>54730.820</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.860265</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>952.922</td>\n",
       "      <td>365.851</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>206258.023</td>\n",
       "      <td>206258.023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.444915</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>674.511</td>\n",
       "      <td>85.524</td>\n",
       "      <td>0.0</td>\n",
       "      <td>589</td>\n",
       "      <td>34657.816</td>\n",
       "      <td>34657.816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.669769</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>822.024</td>\n",
       "      <td>233.465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>589</td>\n",
       "      <td>114001.891</td>\n",
       "      <td>114001.891</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.436187</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1256.789</td>\n",
       "      <td>212.003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1045</td>\n",
       "      <td>26943.547</td>\n",
       "      <td>26943.547</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>983.523</td>\n",
       "      <td>144.752</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>35264.684</td>\n",
       "      <td>35264.684</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282037</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1143.187</td>\n",
       "      <td>106.637</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1037</td>\n",
       "      <td>10055.105</td>\n",
       "      <td>10055.105</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.185702</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>944.285</td>\n",
       "      <td>45.080</td>\n",
       "      <td>0.0</td>\n",
       "      <td>899</td>\n",
       "      <td>9613.754</td>\n",
       "      <td>9611.691</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.187770</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1106.997</td>\n",
       "      <td>47.909</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1059</td>\n",
       "      <td>6679.773</td>\n",
       "      <td>6679.762</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1463.118</td>\n",
       "      <td>625.060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>838</td>\n",
       "      <td>202579.402</td>\n",
       "      <td>202579.402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1132.503</td>\n",
       "      <td>293.609</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>80401.172</td>\n",
       "      <td>80401.172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.359638</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1174.368</td>\n",
       "      <td>129.096</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1045</td>\n",
       "      <td>24048.484</td>\n",
       "      <td>24048.484</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.433558</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1238.627</td>\n",
       "      <td>192.233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1046</td>\n",
       "      <td>38394.094</td>\n",
       "      <td>38394.094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.505314</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1320.905</td>\n",
       "      <td>272.770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1048</td>\n",
       "      <td>57831.375</td>\n",
       "      <td>57831.375</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>869.633</td>\n",
       "      <td>25.022</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845</td>\n",
       "      <td>5245.023</td>\n",
       "      <td>5245.016</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.429650</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1024.066</td>\n",
       "      <td>156.514</td>\n",
       "      <td>0.0</td>\n",
       "      <td>868</td>\n",
       "      <td>38289.074</td>\n",
       "      <td>38289.074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.577401</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1412.635</td>\n",
       "      <td>369.477</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1043</td>\n",
       "      <td>82248.238</td>\n",
       "      <td>82248.238</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.668441</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1579.844</td>\n",
       "      <td>471.775</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1108</td>\n",
       "      <td>113342.465</td>\n",
       "      <td>113342.465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1110.556</td>\n",
       "      <td>281.411</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>80737.414</td>\n",
       "      <td>80737.414</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>973.346</td>\n",
       "      <td>144.232</td>\n",
       "      <td>0.0</td>\n",
       "      <td>829</td>\n",
       "      <td>38647.746</td>\n",
       "      <td>38647.746</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.286635</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1171.765</td>\n",
       "      <td>57.096</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1115</td>\n",
       "      <td>8420.539</td>\n",
       "      <td>8420.535</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.286635</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1154.450</td>\n",
       "      <td>56.118</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1098</td>\n",
       "      <td>5220.840</td>\n",
       "      <td>5220.840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.368151</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1213.700</td>\n",
       "      <td>105.785</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1108</td>\n",
       "      <td>18892.926</td>\n",
       "      <td>18892.926</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.444201</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1272.911</td>\n",
       "      <td>173.988</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1099</td>\n",
       "      <td>34274.020</td>\n",
       "      <td>34274.020</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>891.817</td>\n",
       "      <td>59.847</td>\n",
       "      <td>0.0</td>\n",
       "      <td>832</td>\n",
       "      <td>15282.734</td>\n",
       "      <td>15282.648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.361818</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1188.033</td>\n",
       "      <td>149.707</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1038</td>\n",
       "      <td>16232.359</td>\n",
       "      <td>16232.359</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>960.314</td>\n",
       "      <td>66.634</td>\n",
       "      <td>0.0</td>\n",
       "      <td>894</td>\n",
       "      <td>9565.496</td>\n",
       "      <td>9565.488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.573518</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1142.665</td>\n",
       "      <td>301.896</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>81366.668</td>\n",
       "      <td>81366.668</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1340.045</td>\n",
       "      <td>500.727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>839</td>\n",
       "      <td>158195.453</td>\n",
       "      <td>158195.453</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.360889</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>969.580</td>\n",
       "      <td>126.705</td>\n",
       "      <td>0.0</td>\n",
       "      <td>843</td>\n",
       "      <td>25770.316</td>\n",
       "      <td>25770.316</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.287411</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>614.943</td>\n",
       "      <td>27.170</td>\n",
       "      <td>0.0</td>\n",
       "      <td>588</td>\n",
       "      <td>8905.234</td>\n",
       "      <td>8905.234</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.287411</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>616.055</td>\n",
       "      <td>27.071</td>\n",
       "      <td>0.0</td>\n",
       "      <td>589</td>\n",
       "      <td>8935.699</td>\n",
       "      <td>8935.695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282771</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>955.784</td>\n",
       "      <td>77.383</td>\n",
       "      <td>0.0</td>\n",
       "      <td>878</td>\n",
       "      <td>7919.227</td>\n",
       "      <td>7919.223</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.436187</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1240.192</td>\n",
       "      <td>202.572</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1038</td>\n",
       "      <td>19213.258</td>\n",
       "      <td>19074.066</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.519768</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1052.714</td>\n",
       "      <td>207.722</td>\n",
       "      <td>0.0</td>\n",
       "      <td>845</td>\n",
       "      <td>56132.645</td>\n",
       "      <td>56132.645</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.185702</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>898.959</td>\n",
       "      <td>48.565</td>\n",
       "      <td>0.0</td>\n",
       "      <td>850</td>\n",
       "      <td>8711.590</td>\n",
       "      <td>8711.586</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.656895</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1246.095</td>\n",
       "      <td>406.567</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>113782.871</td>\n",
       "      <td>113782.871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.741360</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1354.640</td>\n",
       "      <td>513.175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>151625.488</td>\n",
       "      <td>151625.488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.281477</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>934.762</td>\n",
       "      <td>85.933</td>\n",
       "      <td>0.0</td>\n",
       "      <td>849</td>\n",
       "      <td>14066.465</td>\n",
       "      <td>14066.465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.368151</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1211.590</td>\n",
       "      <td>100.244</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1111</td>\n",
       "      <td>12641.117</td>\n",
       "      <td>12641.117</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.507096</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1078.630</td>\n",
       "      <td>238.369</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>59455.289</td>\n",
       "      <td>59455.289</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.192428</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>601.984</td>\n",
       "      <td>9.436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>593</td>\n",
       "      <td>1356.406</td>\n",
       "      <td>1356.406</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188862</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>917.531</td>\n",
       "      <td>62.476</td>\n",
       "      <td>0.0</td>\n",
       "      <td>855</td>\n",
       "      <td>10060.574</td>\n",
       "      <td>10060.566</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.656545</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1539.129</td>\n",
       "      <td>500.327</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1039</td>\n",
       "      <td>103675.129</td>\n",
       "      <td>103675.129</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.193332</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>863.567</td>\n",
       "      <td>12.055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>852</td>\n",
       "      <td>435.156</td>\n",
       "      <td>435.148</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1415.835</td>\n",
       "      <td>588.583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>827</td>\n",
       "      <td>197714.965</td>\n",
       "      <td>197714.961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.193332</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>860.253</td>\n",
       "      <td>12.857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>847</td>\n",
       "      <td>2008.484</td>\n",
       "      <td>2006.441</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.648507</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1220.374</td>\n",
       "      <td>390.756</td>\n",
       "      <td>0.0</td>\n",
       "      <td>830</td>\n",
       "      <td>111535.930</td>\n",
       "      <td>111535.930</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.652825</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1530.364</td>\n",
       "      <td>480.936</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1049</td>\n",
       "      <td>113283.402</td>\n",
       "      <td>113283.402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.567462</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1360.519</td>\n",
       "      <td>378.343</td>\n",
       "      <td>0.0</td>\n",
       "      <td>982</td>\n",
       "      <td>86849.770</td>\n",
       "      <td>86849.770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1217.601</td>\n",
       "      <td>231.594</td>\n",
       "      <td>0.0</td>\n",
       "      <td>986</td>\n",
       "      <td>16659.621</td>\n",
       "      <td>16659.621</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.592534</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>762.616</td>\n",
       "      <td>176.130</td>\n",
       "      <td>0.0</td>\n",
       "      <td>586</td>\n",
       "      <td>81239.012</td>\n",
       "      <td>81239.012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1140.235</td>\n",
       "      <td>151.363</td>\n",
       "      <td>0.0</td>\n",
       "      <td>989</td>\n",
       "      <td>16749.949</td>\n",
       "      <td>16749.949</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.860265</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>951.869</td>\n",
       "      <td>366.348</td>\n",
       "      <td>0.0</td>\n",
       "      <td>586</td>\n",
       "      <td>206217.871</td>\n",
       "      <td>206217.871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.740374</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1667.418</td>\n",
       "      <td>630.959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1036</td>\n",
       "      <td>140698.410</td>\n",
       "      <td>140698.410</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.370012</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>918.737</td>\n",
       "      <td>75.443</td>\n",
       "      <td>0.0</td>\n",
       "      <td>843</td>\n",
       "      <td>11347.656</td>\n",
       "      <td>11347.656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362385</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>992.671</td>\n",
       "      <td>119.767</td>\n",
       "      <td>0.0</td>\n",
       "      <td>873</td>\n",
       "      <td>22577.113</td>\n",
       "      <td>22577.113</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362385</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>988.271</td>\n",
       "      <td>120.311</td>\n",
       "      <td>0.0</td>\n",
       "      <td>868</td>\n",
       "      <td>22441.625</td>\n",
       "      <td>22441.625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.567462</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1224.385</td>\n",
       "      <td>382.723</td>\n",
       "      <td>0.0</td>\n",
       "      <td>842</td>\n",
       "      <td>86458.449</td>\n",
       "      <td>86458.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282037</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1142.643</td>\n",
       "      <td>104.573</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1038</td>\n",
       "      <td>9128.078</td>\n",
       "      <td>8988.344</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1477.218</td>\n",
       "      <td>365.952</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1111</td>\n",
       "      <td>80842.309</td>\n",
       "      <td>80842.309</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>883.253</td>\n",
       "      <td>37.414</td>\n",
       "      <td>0.0</td>\n",
       "      <td>846</td>\n",
       "      <td>10157.656</td>\n",
       "      <td>10155.582</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.444201</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1282.626</td>\n",
       "      <td>173.644</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1109</td>\n",
       "      <td>34211.297</td>\n",
       "      <td>34211.293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.656895</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1251.531</td>\n",
       "      <td>410.048</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>113887.180</td>\n",
       "      <td>113887.180</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>972.072</td>\n",
       "      <td>144.357</td>\n",
       "      <td>0.0</td>\n",
       "      <td>828</td>\n",
       "      <td>38552.605</td>\n",
       "      <td>38552.605</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.184333</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1116.401</td>\n",
       "      <td>120.555</td>\n",
       "      <td>0.0</td>\n",
       "      <td>996</td>\n",
       "      <td>14621.605</td>\n",
       "      <td>14619.535</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.642946</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1472.225</td>\n",
       "      <td>483.679</td>\n",
       "      <td>0.0</td>\n",
       "      <td>989</td>\n",
       "      <td>116602.699</td>\n",
       "      <td>116602.699</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.832011</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1681.771</td>\n",
       "      <td>696.129</td>\n",
       "      <td>0.0</td>\n",
       "      <td>986</td>\n",
       "      <td>204069.262</td>\n",
       "      <td>204069.262</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.832011</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1527.282</td>\n",
       "      <td>686.382</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>203731.578</td>\n",
       "      <td>203731.578</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.444915</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>673.610</td>\n",
       "      <td>85.126</td>\n",
       "      <td>0.0</td>\n",
       "      <td>588</td>\n",
       "      <td>34720.258</td>\n",
       "      <td>34720.258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.592534</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>763.759</td>\n",
       "      <td>176.286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>81229.023</td>\n",
       "      <td>81229.023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.281477</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>933.899</td>\n",
       "      <td>86.251</td>\n",
       "      <td>0.0</td>\n",
       "      <td>848</td>\n",
       "      <td>13980.750</td>\n",
       "      <td>13980.750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191933</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1133.199</td>\n",
       "      <td>26.465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1107</td>\n",
       "      <td>2409.270</td>\n",
       "      <td>2409.266</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.189922</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>943.433</td>\n",
       "      <td>55.855</td>\n",
       "      <td>0.0</td>\n",
       "      <td>888</td>\n",
       "      <td>7298.906</td>\n",
       "      <td>7296.848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.847134</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1475.361</td>\n",
       "      <td>634.339</td>\n",
       "      <td>0.0</td>\n",
       "      <td>841</td>\n",
       "      <td>204030.258</td>\n",
       "      <td>204030.258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.187770</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1102.362</td>\n",
       "      <td>47.947</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1054</td>\n",
       "      <td>7022.410</td>\n",
       "      <td>7020.359</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.433558</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1239.676</td>\n",
       "      <td>192.325</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1047</td>\n",
       "      <td>38438.973</td>\n",
       "      <td>38438.973</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.577401</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1421.994</td>\n",
       "      <td>368.940</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1053</td>\n",
       "      <td>82370.535</td>\n",
       "      <td>82370.535</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.844886</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1810.890</td>\n",
       "      <td>767.717</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1043</td>\n",
       "      <td>182928.758</td>\n",
       "      <td>182788.453</td>\n",
       "      <td>0.0</td>\n",
       "      <td>140</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.580828</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1167.523</td>\n",
       "      <td>317.131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>850</td>\n",
       "      <td>82175.605</td>\n",
       "      <td>82175.105</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.189108</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1121.102</td>\n",
       "      <td>79.167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1042</td>\n",
       "      <td>8698.215</td>\n",
       "      <td>8698.121</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.189108</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1127.776</td>\n",
       "      <td>82.238</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1046</td>\n",
       "      <td>10753.168</td>\n",
       "      <td>10751.109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1182.282</td>\n",
       "      <td>197.094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>985</td>\n",
       "      <td>30254.738</td>\n",
       "      <td>30254.738</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1138.673</td>\n",
       "      <td>151.227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>987</td>\n",
       "      <td>17173.172</td>\n",
       "      <td>17173.172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.518516</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>714.756</td>\n",
       "      <td>127.327</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>55141.598</td>\n",
       "      <td>55141.598</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.736641</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1653.935</td>\n",
       "      <td>607.391</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1047</td>\n",
       "      <td>151985.863</td>\n",
       "      <td>151985.863</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.847134</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1478.284</td>\n",
       "      <td>634.286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>844</td>\n",
       "      <td>202241.875</td>\n",
       "      <td>202241.875</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.652825</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1520.464</td>\n",
       "      <td>479.503</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1041</td>\n",
       "      <td>113155.496</td>\n",
       "      <td>113155.496</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    complex_type  max_dimension sparse  max_edge_length  nb_iterations   \n",
       "0           edge              2   None         0.358031              3  \\\n",
       "1           edge              2   None         0.661717              2   \n",
       "2           edge              2   None         0.585445              3   \n",
       "3           edge              2   None         0.496333              3   \n",
       "4           edge              2   None         0.668441              2   \n",
       "5           edge              2   None         0.671234              3   \n",
       "6           edge              2   None         0.364614              3   \n",
       "7           edge              2   None         0.353158              3   \n",
       "8           edge              2   None         0.726875              2   \n",
       "9           edge              2   None         0.726875              3   \n",
       "10          edge              2   None         0.503620              3   \n",
       "11          edge              2   None         0.836201              2   \n",
       "12          edge              2   None         0.671234              2   \n",
       "13          edge              2   None         0.355923              3   \n",
       "14          edge              2   None         0.284186              2   \n",
       "15          edge              2   None         0.858712              2   \n",
       "16          edge              2   None         0.512279              3   \n",
       "17          edge              2   None         0.858712              3   \n",
       "18          edge              2   None         0.501485              2   \n",
       "19          edge              2   None         0.277081              3   \n",
       "20          edge              2   None         0.517931              3   \n",
       "21          edge              2   None         0.741360              3   \n",
       "22          edge              2   None         0.731654              2   \n",
       "23          edge              2   None         0.732426              3   \n",
       "24          edge              2   None         0.575211              3   \n",
       "25          edge              2   None         0.579512              3   \n",
       "26          edge              2   None         0.503620              2   \n",
       "27          edge              2   None         0.844886              2   \n",
       "28          edge              2   None         0.370012              3   \n",
       "29          edge              2   None         0.580863              2   \n",
       "30          edge              2   None         0.746055              2   \n",
       "31          edge              2   None         0.446094              3   \n",
       "32          edge              2   None         0.436307              3   \n",
       "33          edge              2   None         0.738313              3   \n",
       "34          edge              2   None         0.731654              3   \n",
       "35          edge              2   None         0.436307              2   \n",
       "36          edge              2   None         0.361818              3   \n",
       "37          edge              2   None         0.842572              2   \n",
       "38          edge              2   None         0.642946              2   \n",
       "39          edge              2   None         0.654961              2   \n",
       "40          edge              2   None         0.863527              2   \n",
       "41          edge              2   None         0.863527              3   \n",
       "42          edge              2   None         0.501485              3   \n",
       "43          edge              2   None         0.446094              2   \n",
       "44          edge              2   None         0.593858              2   \n",
       "45          edge              2   None         0.358031              2   \n",
       "46          edge              2   None         0.355923              2   \n",
       "47          edge              2   None         0.190465              2   \n",
       "48          edge              2   None         0.732426              2   \n",
       "49          edge              2   None         0.505314              3   \n",
       "50          edge              2   None         0.746055              3   \n",
       "51          edge              2   None         0.278639              3   \n",
       "52          edge              2   None         0.841716              3   \n",
       "53          edge              2   None         0.841716              2   \n",
       "54          edge              2   None         0.649735              2   \n",
       "55          edge              2   None         0.429650              3   \n",
       "56          edge              2   None         0.756757              3   \n",
       "57          edge              2   None         0.288394              3   \n",
       "58          edge              2   None         0.591743              2   \n",
       "59          edge              2   None         0.518516              3   \n",
       "60          edge              2   None         0.368927              2   \n",
       "61          edge              2   None         0.508464              2   \n",
       "62          edge              2   None         0.754678              2   \n",
       "63          edge              2   None         0.364614              2   \n",
       "64          edge              2   None         0.284186              3   \n",
       "65          edge              2   None         0.593858              3   \n",
       "66          edge              2   None         0.425860              2   \n",
       "67          edge              2   None         0.754678              3   \n",
       "68          edge              2   None         0.439468              3   \n",
       "69          edge              2   None         0.288394              2   \n",
       "70          edge              2   None         0.184333              3   \n",
       "71          edge              2   None         0.282771              2   \n",
       "72          edge              2   None         0.280349              3   \n",
       "73          edge              2   None         0.280349              2   \n",
       "74          edge              2   None         0.851250              3   \n",
       "75          edge              2   None         0.573518              3   \n",
       "76          edge              2   None         0.508464              3   \n",
       "77          edge              2   None         0.186441              3   \n",
       "78          edge              2   None         0.188862              2   \n",
       "79          edge              2   None         0.519768              3   \n",
       "80          edge              2   None         0.360889              2   \n",
       "81          edge              2   None         0.508263              3   \n",
       "82          edge              2   None         0.191933              2   \n",
       "83          edge              2   None         0.736641              2   \n",
       "84          edge              2   None         0.753060              2   \n",
       "85          edge              2   None         0.753060              3   \n",
       "86          edge              2   None         0.359638              2   \n",
       "87          edge              2   None         0.580828              2   \n",
       "88          edge              2   None         0.189922              3   \n",
       "89          edge              2   None         0.435037              2   \n",
       "90          edge              2   None         0.842572              3   \n",
       "91          edge              2   None         0.738313              2   \n",
       "92          edge              2   None         0.654961              3   \n",
       "93          edge              2   None         0.579512              2   \n",
       "94          edge              2   None         0.507096              3   \n",
       "95          edge              2   None         0.435037              3   \n",
       "96          edge              2   None         0.508263              2   \n",
       "97          edge              2   None         0.669769              3   \n",
       "98          edge              2   None         0.648507              2   \n",
       "99          edge              2   None         0.368927              3   \n",
       "100         edge              2   None         0.649735              3   \n",
       "101         edge              2   None         0.836042              3   \n",
       "102         edge              2   None         0.512279              2   \n",
       "103         edge              2   None         0.661717              3   \n",
       "104         edge              2   None         0.836201              3   \n",
       "105         edge              2   None         0.740374              3   \n",
       "106         edge              2   None         0.656545              3   \n",
       "107         edge              2   None         0.496333              2   \n",
       "108         edge              2   None         0.580863              3   \n",
       "109         edge              2   None         0.192428              2   \n",
       "110         edge              2   None         0.517931              2   \n",
       "111         edge              2   None         0.860265              2   \n",
       "112         edge              2   None         0.444915              3   \n",
       "113         edge              2   None         0.669769              2   \n",
       "114         edge              2   None         0.436187              2   \n",
       "115         edge              2   None         0.439468              2   \n",
       "116         edge              2   None         0.282037              2   \n",
       "117         edge              2   None         0.185702              2   \n",
       "118         edge              2   None         0.187770              3   \n",
       "119         edge              2   None         0.851250              2   \n",
       "120         edge              2   None         0.585445              2   \n",
       "121         edge              2   None         0.359638              3   \n",
       "122         edge              2   None         0.433558              3   \n",
       "123         edge              2   None         0.505314              2   \n",
       "124         edge              2   None         0.190465              3   \n",
       "125         edge              2   None         0.429650              2   \n",
       "126         edge              2   None         0.577401              3   \n",
       "127         edge              2   None         0.668441              3   \n",
       "128         edge              2   None         0.575211              2   \n",
       "129         edge              2   None         0.431968              2   \n",
       "130         edge              2   None         0.286635              2   \n",
       "131         edge              2   None         0.286635              3   \n",
       "132         edge              2   None         0.368151              3   \n",
       "133         edge              2   None         0.444201              2   \n",
       "134         edge              2   None         0.278639              2   \n",
       "135         edge              2   None         0.361818              2   \n",
       "136         edge              2   None         0.277081              2   \n",
       "137         edge              2   None         0.573518              2   \n",
       "138         edge              2   None         0.756757              2   \n",
       "139         edge              2   None         0.360889              3   \n",
       "140         edge              2   None         0.287411              3   \n",
       "141         edge              2   None         0.287411              2   \n",
       "142         edge              2   None         0.282771              3   \n",
       "143         edge              2   None         0.436187              3   \n",
       "144         edge              2   None         0.519768              2   \n",
       "145         edge              2   None         0.185702              3   \n",
       "146         edge              2   None         0.656895              3   \n",
       "147         edge              2   None         0.741360              2   \n",
       "148         edge              2   None         0.281477              2   \n",
       "149         edge              2   None         0.368151              2   \n",
       "150         edge              2   None         0.507096              2   \n",
       "151         edge              2   None         0.192428              3   \n",
       "152         edge              2   None         0.188862              3   \n",
       "153         edge              2   None         0.656545              2   \n",
       "154         edge              2   None         0.193332              3   \n",
       "155         edge              2   None         0.836042              2   \n",
       "156         edge              2   None         0.193332              2   \n",
       "157         edge              2   None         0.648507              3   \n",
       "158         edge              2   None         0.652825              2   \n",
       "159         edge              2   None         0.567462              2   \n",
       "160         edge              2   None         0.425860              3   \n",
       "161         edge              2   None         0.592534              3   \n",
       "162         edge              2   None         0.275171              3   \n",
       "163         edge              2   None         0.860265              3   \n",
       "164         edge              2   None         0.740374              2   \n",
       "165         edge              2   None         0.370012              2   \n",
       "166         edge              2   None         0.362385              2   \n",
       "167         edge              2   None         0.362385              3   \n",
       "168         edge              2   None         0.567462              3   \n",
       "169         edge              2   None         0.282037              3   \n",
       "170         edge              2   None         0.591743              3   \n",
       "171         edge              2   None         0.186441              2   \n",
       "172         edge              2   None         0.444201              3   \n",
       "173         edge              2   None         0.656895              2   \n",
       "174         edge              2   None         0.431968              3   \n",
       "175         edge              2   None         0.184333              2   \n",
       "176         edge              2   None         0.642946              3   \n",
       "177         edge              2   None         0.832011              2   \n",
       "178         edge              2   None         0.832011              3   \n",
       "179         edge              2   None         0.444915              2   \n",
       "180         edge              2   None         0.592534              2   \n",
       "181         edge              2   None         0.281477              3   \n",
       "182         edge              2   None         0.191933              3   \n",
       "183         edge              2   None         0.189922              2   \n",
       "184         edge              2   None         0.847134              3   \n",
       "185         edge              2   None         0.187770              2   \n",
       "186         edge              2   None         0.433558              2   \n",
       "187         edge              2   None         0.577401              2   \n",
       "188         edge              2   None         0.844886              3   \n",
       "189         edge              2   None         0.580828              3   \n",
       "190         edge              2   None         0.189108              3   \n",
       "191         edge              2   None         0.189108              2   \n",
       "192         edge              2   None         0.353158              2   \n",
       "193         edge              2   None         0.275171              2   \n",
       "194         edge              2   None         0.518516              2   \n",
       "195         edge              2   None         0.736641              3   \n",
       "196         edge              2   None         0.847134              2   \n",
       "197         edge              2   None         0.652825              3   \n",
       "\n",
       "                                    complex_parameters  elapsed_time   \n",
       "0    {'complex_type': 'edge', 'max_dimension': 2, '...       924.289  \\\n",
       "1    {'complex_type': 'edge', 'max_dimension': 2, '...      1236.627   \n",
       "2    {'complex_type': 'edge', 'max_dimension': 2, '...      1172.248   \n",
       "3    {'complex_type': 'edge', 'max_dimension': 2, '...      1293.219   \n",
       "4    {'complex_type': 'edge', 'max_dimension': 2, '...      1596.168   \n",
       "5    {'complex_type': 'edge', 'max_dimension': 2, '...      1233.926   \n",
       "6    {'complex_type': 'edge', 'max_dimension': 2, '...       926.261   \n",
       "7    {'complex_type': 'edge', 'max_dimension': 2, '...      1182.370   \n",
       "8    {'complex_type': 'edge', 'max_dimension': 2, '...      1414.106   \n",
       "9    {'complex_type': 'edge', 'max_dimension': 2, '...      1555.586   \n",
       "10   {'complex_type': 'edge', 'max_dimension': 2, '...      1034.109   \n",
       "11   {'complex_type': 'edge', 'max_dimension': 2, '...      1457.967   \n",
       "12   {'complex_type': 'edge', 'max_dimension': 2, '...      1237.675   \n",
       "13   {'complex_type': 'edge', 'max_dimension': 2, '...       969.423   \n",
       "14   {'complex_type': 'edge', 'max_dimension': 2, '...       889.316   \n",
       "15   {'complex_type': 'edge', 'max_dimension': 2, '...      1885.815   \n",
       "16   {'complex_type': 'edge', 'max_dimension': 2, '...      1095.164   \n",
       "17   {'complex_type': 'edge', 'max_dimension': 2, '...      1880.667   \n",
       "18   {'complex_type': 'edge', 'max_dimension': 2, '...      1051.579   \n",
       "19   {'complex_type': 'edge', 'max_dimension': 2, '...       935.718   \n",
       "20   {'complex_type': 'edge', 'max_dimension': 2, '...      1354.568   \n",
       "21   {'complex_type': 'edge', 'max_dimension': 2, '...      1359.259   \n",
       "22   {'complex_type': 'edge', 'max_dimension': 2, '...      1341.635   \n",
       "23   {'complex_type': 'edge', 'max_dimension': 2, '...      1300.524   \n",
       "24   {'complex_type': 'edge', 'max_dimension': 2, '...      1107.605   \n",
       "25   {'complex_type': 'edge', 'max_dimension': 2, '...      1156.686   \n",
       "26   {'complex_type': 'edge', 'max_dimension': 2, '...      1035.554   \n",
       "27   {'complex_type': 'edge', 'max_dimension': 2, '...      1817.183   \n",
       "28   {'complex_type': 'edge', 'max_dimension': 2, '...       922.653   \n",
       "29   {'complex_type': 'edge', 'max_dimension': 2, '...      1425.537   \n",
       "30   {'complex_type': 'edge', 'max_dimension': 2, '...      1341.077   \n",
       "31   {'complex_type': 'edge', 'max_dimension': 2, '...       980.773   \n",
       "32   {'complex_type': 'edge', 'max_dimension': 2, '...      1044.829   \n",
       "33   {'complex_type': 'edge', 'max_dimension': 2, '...      1350.239   \n",
       "34   {'complex_type': 'edge', 'max_dimension': 2, '...      1324.688   \n",
       "35   {'complex_type': 'edge', 'max_dimension': 2, '...      1044.342   \n",
       "36   {'complex_type': 'edge', 'max_dimension': 2, '...      1179.327   \n",
       "37   {'complex_type': 'edge', 'max_dimension': 2, '...      1464.869   \n",
       "38   {'complex_type': 'edge', 'max_dimension': 2, '...      1454.146   \n",
       "39   {'complex_type': 'edge', 'max_dimension': 2, '...      1242.175   \n",
       "40   {'complex_type': 'edge', 'max_dimension': 2, '...      1466.258   \n",
       "41   {'complex_type': 'edge', 'max_dimension': 2, '...      1462.818   \n",
       "42   {'complex_type': 'edge', 'max_dimension': 2, '...      1064.566   \n",
       "43   {'complex_type': 'edge', 'max_dimension': 2, '...       979.184   \n",
       "44   {'complex_type': 'edge', 'max_dimension': 2, '...      1135.097   \n",
       "45   {'complex_type': 'edge', 'max_dimension': 2, '...       923.757   \n",
       "46   {'complex_type': 'edge', 'max_dimension': 2, '...       948.414   \n",
       "47   {'complex_type': 'edge', 'max_dimension': 2, '...       869.214   \n",
       "48   {'complex_type': 'edge', 'max_dimension': 2, '...      1303.444   \n",
       "49   {'complex_type': 'edge', 'max_dimension': 2, '...      1319.274   \n",
       "50   {'complex_type': 'edge', 'max_dimension': 2, '...      1380.904   \n",
       "51   {'complex_type': 'edge', 'max_dimension': 2, '...       890.725   \n",
       "52   {'complex_type': 'edge', 'max_dimension': 2, '...      1803.788   \n",
       "53   {'complex_type': 'edge', 'max_dimension': 2, '...      1805.595   \n",
       "54   {'complex_type': 'edge', 'max_dimension': 2, '...      1196.177   \n",
       "55   {'complex_type': 'edge', 'max_dimension': 2, '...       989.167   \n",
       "56   {'complex_type': 'edge', 'max_dimension': 2, '...      1344.885   \n",
       "57   {'complex_type': 'edge', 'max_dimension': 2, '...       878.971   \n",
       "58   {'complex_type': 'edge', 'max_dimension': 2, '...      1467.357   \n",
       "59   {'complex_type': 'edge', 'max_dimension': 2, '...       715.100   \n",
       "60   {'complex_type': 'edge', 'max_dimension': 2, '...       638.581   \n",
       "61   {'complex_type': 'edge', 'max_dimension': 2, '...      1329.824   \n",
       "62   {'complex_type': 'edge', 'max_dimension': 2, '...       886.082   \n",
       "63   {'complex_type': 'edge', 'max_dimension': 2, '...       925.813   \n",
       "64   {'complex_type': 'edge', 'max_dimension': 2, '...       937.624   \n",
       "65   {'complex_type': 'edge', 'max_dimension': 2, '...      1131.435   \n",
       "66   {'complex_type': 'edge', 'max_dimension': 2, '...      1229.475   \n",
       "67   {'complex_type': 'edge', 'max_dimension': 2, '...       884.151   \n",
       "68   {'complex_type': 'edge', 'max_dimension': 2, '...       979.881   \n",
       "69   {'complex_type': 'edge', 'max_dimension': 2, '...       881.710   \n",
       "70   {'complex_type': 'edge', 'max_dimension': 2, '...      1118.755   \n",
       "71   {'complex_type': 'edge', 'max_dimension': 2, '...       951.099   \n",
       "72   {'complex_type': 'edge', 'max_dimension': 2, '...      1124.842   \n",
       "73   {'complex_type': 'edge', 'max_dimension': 2, '...      1125.457   \n",
       "74   {'complex_type': 'edge', 'max_dimension': 2, '...      1463.707   \n",
       "75   {'complex_type': 'edge', 'max_dimension': 2, '...      1131.447   \n",
       "76   {'complex_type': 'edge', 'max_dimension': 2, '...      1323.132   \n",
       "77   {'complex_type': 'edge', 'max_dimension': 2, '...       874.668   \n",
       "78   {'complex_type': 'edge', 'max_dimension': 2, '...       904.990   \n",
       "79   {'complex_type': 'edge', 'max_dimension': 2, '...      1053.956   \n",
       "80   {'complex_type': 'edge', 'max_dimension': 2, '...       972.089   \n",
       "81   {'complex_type': 'edge', 'max_dimension': 2, '...      1134.797   \n",
       "82   {'complex_type': 'edge', 'max_dimension': 2, '...      1130.077   \n",
       "83   {'complex_type': 'edge', 'max_dimension': 2, '...      1654.165   \n",
       "84   {'complex_type': 'edge', 'max_dimension': 2, '...      1734.282   \n",
       "85   {'complex_type': 'edge', 'max_dimension': 2, '...      1735.655   \n",
       "86   {'complex_type': 'edge', 'max_dimension': 2, '...      1180.524   \n",
       "87   {'complex_type': 'edge', 'max_dimension': 2, '...      1181.691   \n",
       "88   {'complex_type': 'edge', 'max_dimension': 2, '...       940.668   \n",
       "89   {'complex_type': 'edge', 'max_dimension': 2, '...      1016.814   \n",
       "90   {'complex_type': 'edge', 'max_dimension': 2, '...      1471.542   \n",
       "91   {'complex_type': 'edge', 'max_dimension': 2, '...      1347.878   \n",
       "92   {'complex_type': 'edge', 'max_dimension': 2, '...      1247.722   \n",
       "93   {'complex_type': 'edge', 'max_dimension': 2, '...      1154.335   \n",
       "94   {'complex_type': 'edge', 'max_dimension': 2, '...      1076.424   \n",
       "95   {'complex_type': 'edge', 'max_dimension': 2, '...      1016.552   \n",
       "96   {'complex_type': 'edge', 'max_dimension': 2, '...      1114.807   \n",
       "97   {'complex_type': 'edge', 'max_dimension': 2, '...       819.922   \n",
       "98   {'complex_type': 'edge', 'max_dimension': 2, '...      1236.928   \n",
       "99   {'complex_type': 'edge', 'max_dimension': 2, '...       638.782   \n",
       "100  {'complex_type': 'edge', 'max_dimension': 2, '...      1196.465   \n",
       "101  {'complex_type': 'edge', 'max_dimension': 2, '...      1416.704   \n",
       "102  {'complex_type': 'edge', 'max_dimension': 2, '...      1044.245   \n",
       "103  {'complex_type': 'edge', 'max_dimension': 2, '...      1230.654   \n",
       "104  {'complex_type': 'edge', 'max_dimension': 2, '...      1457.290   \n",
       "105  {'complex_type': 'edge', 'max_dimension': 2, '...      1660.190   \n",
       "106  {'complex_type': 'edge', 'max_dimension': 2, '...      1526.017   \n",
       "107  {'complex_type': 'edge', 'max_dimension': 2, '...      1316.753   \n",
       "108  {'complex_type': 'edge', 'max_dimension': 2, '...      1420.509   \n",
       "109  {'complex_type': 'edge', 'max_dimension': 2, '...       600.223   \n",
       "110  {'complex_type': 'edge', 'max_dimension': 2, '...      1369.046   \n",
       "111  {'complex_type': 'edge', 'max_dimension': 2, '...       952.922   \n",
       "112  {'complex_type': 'edge', 'max_dimension': 2, '...       674.511   \n",
       "113  {'complex_type': 'edge', 'max_dimension': 2, '...       822.024   \n",
       "114  {'complex_type': 'edge', 'max_dimension': 2, '...      1256.789   \n",
       "115  {'complex_type': 'edge', 'max_dimension': 2, '...       983.523   \n",
       "116  {'complex_type': 'edge', 'max_dimension': 2, '...      1143.187   \n",
       "117  {'complex_type': 'edge', 'max_dimension': 2, '...       944.285   \n",
       "118  {'complex_type': 'edge', 'max_dimension': 2, '...      1106.997   \n",
       "119  {'complex_type': 'edge', 'max_dimension': 2, '...      1463.118   \n",
       "120  {'complex_type': 'edge', 'max_dimension': 2, '...      1132.503   \n",
       "121  {'complex_type': 'edge', 'max_dimension': 2, '...      1174.368   \n",
       "122  {'complex_type': 'edge', 'max_dimension': 2, '...      1238.627   \n",
       "123  {'complex_type': 'edge', 'max_dimension': 2, '...      1320.905   \n",
       "124  {'complex_type': 'edge', 'max_dimension': 2, '...       869.633   \n",
       "125  {'complex_type': 'edge', 'max_dimension': 2, '...      1024.066   \n",
       "126  {'complex_type': 'edge', 'max_dimension': 2, '...      1412.635   \n",
       "127  {'complex_type': 'edge', 'max_dimension': 2, '...      1579.844   \n",
       "128  {'complex_type': 'edge', 'max_dimension': 2, '...      1110.556   \n",
       "129  {'complex_type': 'edge', 'max_dimension': 2, '...       973.346   \n",
       "130  {'complex_type': 'edge', 'max_dimension': 2, '...      1171.765   \n",
       "131  {'complex_type': 'edge', 'max_dimension': 2, '...      1154.450   \n",
       "132  {'complex_type': 'edge', 'max_dimension': 2, '...      1213.700   \n",
       "133  {'complex_type': 'edge', 'max_dimension': 2, '...      1272.911   \n",
       "134  {'complex_type': 'edge', 'max_dimension': 2, '...       891.817   \n",
       "135  {'complex_type': 'edge', 'max_dimension': 2, '...      1188.033   \n",
       "136  {'complex_type': 'edge', 'max_dimension': 2, '...       960.314   \n",
       "137  {'complex_type': 'edge', 'max_dimension': 2, '...      1142.665   \n",
       "138  {'complex_type': 'edge', 'max_dimension': 2, '...      1340.045   \n",
       "139  {'complex_type': 'edge', 'max_dimension': 2, '...       969.580   \n",
       "140  {'complex_type': 'edge', 'max_dimension': 2, '...       614.943   \n",
       "141  {'complex_type': 'edge', 'max_dimension': 2, '...       616.055   \n",
       "142  {'complex_type': 'edge', 'max_dimension': 2, '...       955.784   \n",
       "143  {'complex_type': 'edge', 'max_dimension': 2, '...      1240.192   \n",
       "144  {'complex_type': 'edge', 'max_dimension': 2, '...      1052.714   \n",
       "145  {'complex_type': 'edge', 'max_dimension': 2, '...       898.959   \n",
       "146  {'complex_type': 'edge', 'max_dimension': 2, '...      1246.095   \n",
       "147  {'complex_type': 'edge', 'max_dimension': 2, '...      1354.640   \n",
       "148  {'complex_type': 'edge', 'max_dimension': 2, '...       934.762   \n",
       "149  {'complex_type': 'edge', 'max_dimension': 2, '...      1211.590   \n",
       "150  {'complex_type': 'edge', 'max_dimension': 2, '...      1078.630   \n",
       "151  {'complex_type': 'edge', 'max_dimension': 2, '...       601.984   \n",
       "152  {'complex_type': 'edge', 'max_dimension': 2, '...       917.531   \n",
       "153  {'complex_type': 'edge', 'max_dimension': 2, '...      1539.129   \n",
       "154  {'complex_type': 'edge', 'max_dimension': 2, '...       863.567   \n",
       "155  {'complex_type': 'edge', 'max_dimension': 2, '...      1415.835   \n",
       "156  {'complex_type': 'edge', 'max_dimension': 2, '...       860.253   \n",
       "157  {'complex_type': 'edge', 'max_dimension': 2, '...      1220.374   \n",
       "158  {'complex_type': 'edge', 'max_dimension': 2, '...      1530.364   \n",
       "159  {'complex_type': 'edge', 'max_dimension': 2, '...      1360.519   \n",
       "160  {'complex_type': 'edge', 'max_dimension': 2, '...      1217.601   \n",
       "161  {'complex_type': 'edge', 'max_dimension': 2, '...       762.616   \n",
       "162  {'complex_type': 'edge', 'max_dimension': 2, '...      1140.235   \n",
       "163  {'complex_type': 'edge', 'max_dimension': 2, '...       951.869   \n",
       "164  {'complex_type': 'edge', 'max_dimension': 2, '...      1667.418   \n",
       "165  {'complex_type': 'edge', 'max_dimension': 2, '...       918.737   \n",
       "166  {'complex_type': 'edge', 'max_dimension': 2, '...       992.671   \n",
       "167  {'complex_type': 'edge', 'max_dimension': 2, '...       988.271   \n",
       "168  {'complex_type': 'edge', 'max_dimension': 2, '...      1224.385   \n",
       "169  {'complex_type': 'edge', 'max_dimension': 2, '...      1142.643   \n",
       "170  {'complex_type': 'edge', 'max_dimension': 2, '...      1477.218   \n",
       "171  {'complex_type': 'edge', 'max_dimension': 2, '...       883.253   \n",
       "172  {'complex_type': 'edge', 'max_dimension': 2, '...      1282.626   \n",
       "173  {'complex_type': 'edge', 'max_dimension': 2, '...      1251.531   \n",
       "174  {'complex_type': 'edge', 'max_dimension': 2, '...       972.072   \n",
       "175  {'complex_type': 'edge', 'max_dimension': 2, '...      1116.401   \n",
       "176  {'complex_type': 'edge', 'max_dimension': 2, '...      1472.225   \n",
       "177  {'complex_type': 'edge', 'max_dimension': 2, '...      1681.771   \n",
       "178  {'complex_type': 'edge', 'max_dimension': 2, '...      1527.282   \n",
       "179  {'complex_type': 'edge', 'max_dimension': 2, '...       673.610   \n",
       "180  {'complex_type': 'edge', 'max_dimension': 2, '...       763.759   \n",
       "181  {'complex_type': 'edge', 'max_dimension': 2, '...       933.899   \n",
       "182  {'complex_type': 'edge', 'max_dimension': 2, '...      1133.199   \n",
       "183  {'complex_type': 'edge', 'max_dimension': 2, '...       943.433   \n",
       "184  {'complex_type': 'edge', 'max_dimension': 2, '...      1475.361   \n",
       "185  {'complex_type': 'edge', 'max_dimension': 2, '...      1102.362   \n",
       "186  {'complex_type': 'edge', 'max_dimension': 2, '...      1239.676   \n",
       "187  {'complex_type': 'edge', 'max_dimension': 2, '...      1421.994   \n",
       "188  {'complex_type': 'edge', 'max_dimension': 2, '...      1810.890   \n",
       "189  {'complex_type': 'edge', 'max_dimension': 2, '...      1167.523   \n",
       "190  {'complex_type': 'edge', 'max_dimension': 2, '...      1121.102   \n",
       "191  {'complex_type': 'edge', 'max_dimension': 2, '...      1127.776   \n",
       "192  {'complex_type': 'edge', 'max_dimension': 2, '...      1182.282   \n",
       "193  {'complex_type': 'edge', 'max_dimension': 2, '...      1138.673   \n",
       "194  {'complex_type': 'edge', 'max_dimension': 2, '...       714.756   \n",
       "195  {'complex_type': 'edge', 'max_dimension': 2, '...      1653.935   \n",
       "196  {'complex_type': 'edge', 'max_dimension': 2, '...      1478.284   \n",
       "197  {'complex_type': 'edge', 'max_dimension': 2, '...      1520.464   \n",
       "\n",
       "     time for diagram computation  time for pipeline creation   \n",
       "0                          95.649                         0.0  \\\n",
       "1                         393.697                         0.0   \n",
       "2                         296.413                         0.0   \n",
       "3                         306.695                         0.0   \n",
       "4                         484.891                         0.0   \n",
       "5                         393.445                         0.0   \n",
       "6                          87.496                         0.0   \n",
       "7                         196.478                         0.0   \n",
       "8                         571.659                         0.0   \n",
       "9                         567.028                         0.0   \n",
       "10                        207.007                         0.0   \n",
       "11                        617.259                         0.0   \n",
       "12                        392.785                         0.0   \n",
       "13                        109.010                         0.0   \n",
       "14                         48.072                         0.0   \n",
       "15                        781.571                         0.0   \n",
       "16                        211.688                         0.0   \n",
       "17                        774.372                         0.0   \n",
       "18                        221.742                         0.0   \n",
       "19                         69.420                         0.0   \n",
       "20                        258.059                         0.0   \n",
       "21                        514.049                         0.0   \n",
       "22                        498.413                         0.0   \n",
       "23                        471.123                         0.0   \n",
       "24                        281.357                         0.0   \n",
       "25                        314.918                         0.0   \n",
       "26                        206.759                         0.0   \n",
       "27                        776.427                         0.0   \n",
       "28                         78.809                         0.0   \n",
       "29                        388.220                         0.0   \n",
       "30                        502.853                         0.0   \n",
       "31                        137.349                         0.0   \n",
       "32                        174.291                         0.0   \n",
       "33                        508.383                         0.0   \n",
       "34                        495.786                         0.0   \n",
       "35                        174.686                         0.0   \n",
       "36                        142.602                         0.0   \n",
       "37                        625.718                         0.0   \n",
       "38                        468.967                         0.0   \n",
       "39                        403.655                         0.0   \n",
       "40                        625.994                         0.0   \n",
       "41                        623.407                         0.0   \n",
       "42                        224.581                         0.0   \n",
       "43                        135.038                         0.0   \n",
       "44                        293.966                         0.0   \n",
       "45                         95.500                         0.0   \n",
       "46                        110.214                         0.0   \n",
       "47                         25.562                         0.0   \n",
       "48                        471.079                         0.0   \n",
       "49                        273.297                         0.0   \n",
       "50                        498.296                         0.0   \n",
       "51                         60.522                         0.0   \n",
       "52                        755.917                         0.0   \n",
       "53                        753.188                         0.0   \n",
       "54                        368.821                         0.0   \n",
       "55                        158.336                         0.0   \n",
       "56                        501.136                         0.0   \n",
       "57                         34.750                         0.0   \n",
       "58                        360.616                         0.0   \n",
       "59                        127.062                         0.0   \n",
       "60                         51.619                         0.0   \n",
       "61                        292.237                         0.0   \n",
       "62                        296.748                         0.0   \n",
       "63                         86.778                         0.0   \n",
       "64                         51.003                         0.0   \n",
       "65                        292.858                         0.0   \n",
       "66                        239.429                         0.0   \n",
       "67                        296.745                         0.0   \n",
       "68                        139.945                         0.0   \n",
       "69                         38.080                         0.0   \n",
       "70                        125.282                         0.0   \n",
       "71                         76.189                         0.0   \n",
       "72                         79.177                         0.0   \n",
       "73                         78.621                         0.0   \n",
       "74                        627.156                         0.0   \n",
       "75                        300.536                         0.0   \n",
       "76                        284.365                         0.0   \n",
       "77                         34.927                         0.0   \n",
       "78                         62.710                         0.0   \n",
       "79                        209.463                         0.0   \n",
       "80                        124.693                         0.0   \n",
       "81                        243.527                         0.0   \n",
       "82                         27.168                         0.0   \n",
       "83                        607.369                         0.0   \n",
       "84                        622.747                         0.0   \n",
       "85                        622.926                         0.0   \n",
       "86                        128.667                         0.0   \n",
       "87                        330.051                         0.0   \n",
       "88                         55.025                         0.0   \n",
       "89                        174.889                         0.0   \n",
       "90                        629.769                         0.0   \n",
       "91                        508.125                         0.0   \n",
       "92                        406.802                         0.0   \n",
       "93                        314.055                         0.0   \n",
       "94                        238.293                         0.0   \n",
       "95                        175.624                         0.0   \n",
       "96                        241.485                         0.0   \n",
       "97                        233.361                         0.0   \n",
       "98                        392.952                         0.0   \n",
       "99                         51.680                         0.0   \n",
       "100                       368.023                         0.0   \n",
       "101                       589.245                         0.0   \n",
       "102                       205.604                         0.0   \n",
       "103                       393.805                         0.0   \n",
       "104                       615.772                         0.0   \n",
       "105                       620.059                         0.0   \n",
       "106                       491.961                         0.0   \n",
       "107                       326.538                         0.0   \n",
       "108                       381.043                         0.0   \n",
       "109                         9.435                         0.0   \n",
       "110                       262.132                         0.0   \n",
       "111                       365.851                         0.0   \n",
       "112                        85.524                         0.0   \n",
       "113                       233.465                         0.0   \n",
       "114                       212.003                         0.0   \n",
       "115                       144.752                         0.0   \n",
       "116                       106.637                         0.0   \n",
       "117                        45.080                         0.0   \n",
       "118                        47.909                         0.0   \n",
       "119                       625.060                         0.0   \n",
       "120                       293.609                         0.0   \n",
       "121                       129.096                         0.0   \n",
       "122                       192.233                         0.0   \n",
       "123                       272.770                         0.0   \n",
       "124                        25.022                         0.0   \n",
       "125                       156.514                         0.0   \n",
       "126                       369.477                         0.0   \n",
       "127                       471.775                         0.0   \n",
       "128                       281.411                         0.0   \n",
       "129                       144.232                         0.0   \n",
       "130                        57.096                         0.0   \n",
       "131                        56.118                         0.0   \n",
       "132                       105.785                         0.0   \n",
       "133                       173.988                         0.0   \n",
       "134                        59.847                         0.0   \n",
       "135                       149.707                         0.0   \n",
       "136                        66.634                         0.0   \n",
       "137                       301.896                         0.0   \n",
       "138                       500.727                         0.0   \n",
       "139                       126.705                         0.0   \n",
       "140                        27.170                         0.0   \n",
       "141                        27.071                         0.0   \n",
       "142                        77.383                         0.0   \n",
       "143                       202.572                         0.0   \n",
       "144                       207.722                         0.0   \n",
       "145                        48.565                         0.0   \n",
       "146                       406.567                         0.0   \n",
       "147                       513.175                         0.0   \n",
       "148                        85.933                         0.0   \n",
       "149                       100.244                         0.0   \n",
       "150                       238.369                         0.0   \n",
       "151                         9.436                         0.0   \n",
       "152                        62.476                         0.0   \n",
       "153                       500.327                         0.0   \n",
       "154                        12.055                         0.0   \n",
       "155                       588.583                         0.0   \n",
       "156                        12.857                         0.0   \n",
       "157                       390.756                         0.0   \n",
       "158                       480.936                         0.0   \n",
       "159                       378.343                         0.0   \n",
       "160                       231.594                         0.0   \n",
       "161                       176.130                         0.0   \n",
       "162                       151.363                         0.0   \n",
       "163                       366.348                         0.0   \n",
       "164                       630.959                         0.0   \n",
       "165                        75.443                         0.0   \n",
       "166                       119.767                         0.0   \n",
       "167                       120.311                         0.0   \n",
       "168                       382.723                         0.0   \n",
       "169                       104.573                         0.0   \n",
       "170                       365.952                         0.0   \n",
       "171                        37.414                         0.0   \n",
       "172                       173.644                         0.0   \n",
       "173                       410.048                         0.0   \n",
       "174                       144.357                         0.0   \n",
       "175                       120.555                         0.0   \n",
       "176                       483.679                         0.0   \n",
       "177                       696.129                         0.0   \n",
       "178                       686.382                         0.0   \n",
       "179                        85.126                         0.0   \n",
       "180                       176.286                         0.0   \n",
       "181                        86.251                         0.0   \n",
       "182                        26.465                         0.0   \n",
       "183                        55.855                         0.0   \n",
       "184                       634.339                         0.0   \n",
       "185                        47.947                         0.0   \n",
       "186                       192.325                         0.0   \n",
       "187                       368.940                         0.0   \n",
       "188                       767.717                         0.0   \n",
       "189                       317.131                         0.0   \n",
       "190                        79.167                         0.0   \n",
       "191                        82.238                         0.0   \n",
       "192                       197.094                         0.0   \n",
       "193                       151.227                         0.0   \n",
       "194                       127.327                         0.0   \n",
       "195                       607.391                         0.0   \n",
       "196                       634.286                         0.0   \n",
       "197                       479.503                         0.0   \n",
       "\n",
       "     time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                      829       24812.172  \\\n",
       "1                                      843      112081.469   \n",
       "2                                      876       80295.172   \n",
       "3                                      987       62795.770   \n",
       "4                                     1111      113415.434   \n",
       "5                                      840      116561.141   \n",
       "6                                      839       20598.227   \n",
       "7                                      986       29931.305   \n",
       "8                                      842      155012.613   \n",
       "9                                      989      154611.320   \n",
       "10                                     827       57096.082   \n",
       "11                                     841      198953.895   \n",
       "12                                     845      116556.375   \n",
       "13                                     860       24104.117   \n",
       "14                                     841       10451.992   \n",
       "15                                    1104      205436.926   \n",
       "16                                     883       55036.301   \n",
       "17                                    1106      205246.816   \n",
       "18                                     830       57208.250   \n",
       "19                                     866        9664.074   \n",
       "20                                    1097       54687.297   \n",
       "21                                     845      153521.730   \n",
       "22                                     843      149649.023   \n",
       "23                                     829      148420.855   \n",
       "24                                     826       80750.793   \n",
       "25                                     842       83584.953   \n",
       "26                                     829       57096.766   \n",
       "27                                    1041      192692.906   \n",
       "28                                     844       17419.137   \n",
       "29                                    1037       72631.516   \n",
       "30                                     838      151835.676   \n",
       "31                                     843       35054.512   \n",
       "32                                     871       37129.496   \n",
       "33                                     842      153226.094   \n",
       "34                                     829      149573.043   \n",
       "35                                     870       37320.516   \n",
       "36                                    1037        9184.172   \n",
       "37                                     839      203449.195   \n",
       "38                                     985      117023.844   \n",
       "39                                     839      114475.246   \n",
       "40                                     840      210138.504   \n",
       "41                                     839      210132.516   \n",
       "42                                     840       57143.152   \n",
       "43                                     844       33237.219   \n",
       "44                                     841       83077.016   \n",
       "45                                     828       24737.168   \n",
       "46                                     838       24282.863   \n",
       "47                                     844        6739.863   \n",
       "48                                     832      148390.031   \n",
       "49                                    1046       57997.188   \n",
       "50                                     883      151836.000   \n",
       "51                                     830       15269.039   \n",
       "52                                    1048      201746.480   \n",
       "53                                    1052      201806.984   \n",
       "54                                     827      110554.168   \n",
       "55                                     831       38172.445   \n",
       "56                                     844      158211.180   \n",
       "57                                     844        1081.973   \n",
       "58                                    1107       80883.328   \n",
       "59                                     588       55164.934   \n",
       "60                                     587       19373.996   \n",
       "61                                    1038       46113.055   \n",
       "62                                     589      154812.129   \n",
       "63                                     839       20563.234   \n",
       "64                                     887       10438.812   \n",
       "65                                     839       83057.492   \n",
       "66                                     990       23165.777   \n",
       "67                                     587      154791.887   \n",
       "68                                     840       35241.930   \n",
       "69                                     844        6608.902   \n",
       "70                                     993       14011.230   \n",
       "71                                     875        8095.117   \n",
       "72                                    1046       10813.609   \n",
       "73                                    1047       10933.590   \n",
       "74                                     837      202612.184   \n",
       "75                                     831       81317.309   \n",
       "76                                    1039       38448.348   \n",
       "77                                     840        9070.219   \n",
       "78                                     842       10332.430   \n",
       "79                                     844       56150.047   \n",
       "80                                     847       26085.027   \n",
       "81                                     891       56992.590   \n",
       "82                                    1103        2808.344   \n",
       "83                                    1047      152045.648   \n",
       "84                                    1112      154038.434   \n",
       "85                                    1113      153971.562   \n",
       "86                                    1052       24117.215   \n",
       "87                                     852       82314.281   \n",
       "88                                     886        7124.402   \n",
       "89                                     842       40235.102   \n",
       "90                                     842      203248.742   \n",
       "91                                     840      153408.516   \n",
       "92                                     841      114582.113   \n",
       "93                                     840       83800.230   \n",
       "94                                     838       59299.125   \n",
       "95                                     841       40096.086   \n",
       "96                                     873       55044.926   \n",
       "97                                     587      113981.348   \n",
       "98                                     844      111613.461   \n",
       "99                                     587       19358.484   \n",
       "100                                    828      110513.594   \n",
       "101                                    827      197741.914   \n",
       "102                                    839       55116.930   \n",
       "103                                    837      112068.855   \n",
       "104                                    842      198867.637   \n",
       "105                                   1040      132897.203   \n",
       "106                                   1034       93950.840   \n",
       "107                                    990       63007.887   \n",
       "108                                   1039       63134.941   \n",
       "109                                    591        1374.594   \n",
       "110                                   1107       54730.820   \n",
       "111                                    587      206258.023   \n",
       "112                                    589       34657.816   \n",
       "113                                    589      114001.891   \n",
       "114                                   1045       26943.547   \n",
       "115                                    839       35264.684   \n",
       "116                                   1037       10055.105   \n",
       "117                                    899        9613.754   \n",
       "118                                   1059        6679.773   \n",
       "119                                    838      202579.402   \n",
       "120                                    839       80401.172   \n",
       "121                                   1045       24048.484   \n",
       "122                                   1046       38394.094   \n",
       "123                                   1048       57831.375   \n",
       "124                                    845        5245.023   \n",
       "125                                    868       38289.074   \n",
       "126                                   1043       82248.238   \n",
       "127                                   1108      113342.465   \n",
       "128                                    829       80737.414   \n",
       "129                                    829       38647.746   \n",
       "130                                   1115        8420.539   \n",
       "131                                   1098        5220.840   \n",
       "132                                   1108       18892.926   \n",
       "133                                   1099       34274.020   \n",
       "134                                    832       15282.734   \n",
       "135                                   1038       16232.359   \n",
       "136                                    894        9565.496   \n",
       "137                                    841       81366.668   \n",
       "138                                    839      158195.453   \n",
       "139                                    843       25770.316   \n",
       "140                                    588        8905.234   \n",
       "141                                    589        8935.699   \n",
       "142                                    878        7919.227   \n",
       "143                                   1038       19213.258   \n",
       "144                                    845       56132.645   \n",
       "145                                    850        8711.590   \n",
       "146                                    840      113782.871   \n",
       "147                                    841      151625.488   \n",
       "148                                    849       14066.465   \n",
       "149                                   1111       12641.117   \n",
       "150                                    840       59455.289   \n",
       "151                                    593        1356.406   \n",
       "152                                    855       10060.574   \n",
       "153                                   1039      103675.129   \n",
       "154                                    852         435.156   \n",
       "155                                    827      197714.965   \n",
       "156                                    847        2008.484   \n",
       "157                                    830      111535.930   \n",
       "158                                   1049      113283.402   \n",
       "159                                    982       86849.770   \n",
       "160                                    986       16659.621   \n",
       "161                                    586       81239.012   \n",
       "162                                    989       16749.949   \n",
       "163                                    586      206217.871   \n",
       "164                                   1036      140698.410   \n",
       "165                                    843       11347.656   \n",
       "166                                    873       22577.113   \n",
       "167                                    868       22441.625   \n",
       "168                                    842       86458.449   \n",
       "169                                   1038        9128.078   \n",
       "170                                   1111       80842.309   \n",
       "171                                    846       10157.656   \n",
       "172                                   1109       34211.297   \n",
       "173                                    841      113887.180   \n",
       "174                                    828       38552.605   \n",
       "175                                    996       14621.605   \n",
       "176                                    989      116602.699   \n",
       "177                                    986      204069.262   \n",
       "178                                    841      203731.578   \n",
       "179                                    588       34720.258   \n",
       "180                                    587       81229.023   \n",
       "181                                    848       13980.750   \n",
       "182                                   1107        2409.270   \n",
       "183                                    888        7298.906   \n",
       "184                                    841      204030.258   \n",
       "185                                   1054        7022.410   \n",
       "186                                   1047       38438.973   \n",
       "187                                   1053       82370.535   \n",
       "188                                   1043      182928.758   \n",
       "189                                    850       82175.605   \n",
       "190                                   1042        8698.215   \n",
       "191                                   1046       10753.168   \n",
       "192                                    985       30254.738   \n",
       "193                                    987       17173.172   \n",
       "194                                    587       55141.598   \n",
       "195                                   1047      151985.863   \n",
       "196                                    844      202241.875   \n",
       "197                                   1041      113155.496   \n",
       "\n",
       "     memory for diagram computation  memory for pipeline creation   \n",
       "0                         24812.156                           0.0  \\\n",
       "1                        112081.469                           0.0   \n",
       "2                         80295.172                           0.0   \n",
       "3                         62795.770                           0.0   \n",
       "4                        113415.434                           0.0   \n",
       "5                        116561.141                           0.0   \n",
       "6                         20598.148                           0.0   \n",
       "7                         29931.305                           0.0   \n",
       "8                        155012.613                           0.0   \n",
       "9                        154611.320                           0.0   \n",
       "10                        57096.078                           0.0   \n",
       "11                       198953.895                           0.0   \n",
       "12                       116556.375                           0.0   \n",
       "13                        24103.898                           0.0   \n",
       "14                        10451.992                           0.0   \n",
       "15                       205436.926                           0.0   \n",
       "16                        55036.297                           0.0   \n",
       "17                       205246.816                           0.0   \n",
       "18                        57208.250                           0.0   \n",
       "19                         9664.074                           0.0   \n",
       "20                        54687.297                           0.0   \n",
       "21                       153521.730                           0.0   \n",
       "22                       149649.023                           0.0   \n",
       "23                       148420.855                           0.0   \n",
       "24                        80750.793                           0.0   \n",
       "25                        83584.953                           0.0   \n",
       "26                        57096.766                           0.0   \n",
       "27                       192692.906                           0.0   \n",
       "28                        17419.137                           0.0   \n",
       "29                        72631.516                           0.0   \n",
       "30                       151835.676                           0.0   \n",
       "31                        35054.512                           0.0   \n",
       "32                        37129.496                           0.0   \n",
       "33                       153226.094                           0.0   \n",
       "34                       149573.043                           0.0   \n",
       "35                        37320.516                           0.0   \n",
       "36                         9016.863                           0.0   \n",
       "37                       203449.195                           0.0   \n",
       "38                       117023.844                           0.0   \n",
       "39                       114475.246                           0.0   \n",
       "40                       210138.504                           0.0   \n",
       "41                       210132.516                           0.0   \n",
       "42                        57143.152                           0.0   \n",
       "43                        33237.219                           0.0   \n",
       "44                        83077.016                           0.0   \n",
       "45                        24737.164                           0.0   \n",
       "46                        24258.680                           0.0   \n",
       "47                         6737.789                           0.0   \n",
       "48                       148390.031                           0.0   \n",
       "49                        57997.188                           0.0   \n",
       "50                       151836.000                           0.0   \n",
       "51                        15269.039                           0.0   \n",
       "52                       201746.480                           0.0   \n",
       "53                       201806.984                           0.0   \n",
       "54                       110554.168                           0.0   \n",
       "55                        38172.207                           0.0   \n",
       "56                       158211.180                           0.0   \n",
       "57                         1081.973                           0.0   \n",
       "58                        80883.328                           0.0   \n",
       "59                        55164.934                           0.0   \n",
       "60                        19373.996                           0.0   \n",
       "61                        46113.055                           0.0   \n",
       "62                       154812.129                           0.0   \n",
       "63                        20563.234                           0.0   \n",
       "64                        10438.812                           0.0   \n",
       "65                        83057.492                           0.0   \n",
       "66                        23165.777                           0.0   \n",
       "67                       154791.887                           0.0   \n",
       "68                        35241.930                           0.0   \n",
       "69                         6608.902                           0.0   \n",
       "70                        14011.227                           0.0   \n",
       "71                         8095.117                           0.0   \n",
       "72                        10813.609                           0.0   \n",
       "73                        10933.590                           0.0   \n",
       "74                       202612.184                           0.0   \n",
       "75                        81317.309                           0.0   \n",
       "76                        38309.129                           0.0   \n",
       "77                         9070.215                           0.0   \n",
       "78                        10330.371                           0.0   \n",
       "79                        56150.047                           0.0   \n",
       "80                        26085.027                           0.0   \n",
       "81                        56992.590                           0.0   \n",
       "82                         2806.305                           0.0   \n",
       "83                       152045.648                           0.0   \n",
       "84                       154038.434                           0.0   \n",
       "85                       153971.562                           0.0   \n",
       "86                        24117.215                           0.0   \n",
       "87                        82288.281                           0.0   \n",
       "88                         7124.398                           0.0   \n",
       "89                        40235.102                           0.0   \n",
       "90                       203248.742                           0.0   \n",
       "91                       153408.516                           0.0   \n",
       "92                       114582.113                           0.0   \n",
       "93                        83800.230                           0.0   \n",
       "94                        59299.125                           0.0   \n",
       "95                        40096.086                           0.0   \n",
       "96                        55044.926                           0.0   \n",
       "97                       113981.348                           0.0   \n",
       "98                       111613.461                           0.0   \n",
       "99                        19358.484                           0.0   \n",
       "100                      110513.594                           0.0   \n",
       "101                      197741.914                           0.0   \n",
       "102                       55116.930                           0.0   \n",
       "103                      112068.855                           0.0   \n",
       "104                      198867.637                           0.0   \n",
       "105                      132757.129                           0.0   \n",
       "106                       93810.910                           0.0   \n",
       "107                       63007.887                           0.0   \n",
       "108                       62996.254                           0.0   \n",
       "109                        1372.520                           0.0   \n",
       "110                       54730.820                           0.0   \n",
       "111                      206258.023                           0.0   \n",
       "112                       34657.816                           0.0   \n",
       "113                      114001.891                           0.0   \n",
       "114                       26943.547                           0.0   \n",
       "115                       35264.684                           0.0   \n",
       "116                       10055.105                           0.0   \n",
       "117                        9611.691                           0.0   \n",
       "118                        6679.762                           0.0   \n",
       "119                      202579.402                           0.0   \n",
       "120                       80401.172                           0.0   \n",
       "121                       24048.484                           0.0   \n",
       "122                       38394.094                           0.0   \n",
       "123                       57831.375                           0.0   \n",
       "124                        5245.016                           0.0   \n",
       "125                       38289.074                           0.0   \n",
       "126                       82248.238                           0.0   \n",
       "127                      113342.465                           0.0   \n",
       "128                       80737.414                           0.0   \n",
       "129                       38647.746                           0.0   \n",
       "130                        8420.535                           0.0   \n",
       "131                        5220.840                           0.0   \n",
       "132                       18892.926                           0.0   \n",
       "133                       34274.020                           0.0   \n",
       "134                       15282.648                           0.0   \n",
       "135                       16232.359                           0.0   \n",
       "136                        9565.488                           0.0   \n",
       "137                       81366.668                           0.0   \n",
       "138                      158195.453                           0.0   \n",
       "139                       25770.316                           0.0   \n",
       "140                        8905.234                           0.0   \n",
       "141                        8935.695                           0.0   \n",
       "142                        7919.223                           0.0   \n",
       "143                       19074.066                           0.0   \n",
       "144                       56132.645                           0.0   \n",
       "145                        8711.586                           0.0   \n",
       "146                      113782.871                           0.0   \n",
       "147                      151625.488                           0.0   \n",
       "148                       14066.465                           0.0   \n",
       "149                       12641.117                           0.0   \n",
       "150                       59455.289                           0.0   \n",
       "151                        1356.406                           0.0   \n",
       "152                       10060.566                           0.0   \n",
       "153                      103675.129                           0.0   \n",
       "154                         435.148                           0.0   \n",
       "155                      197714.961                           0.0   \n",
       "156                        2006.441                           0.0   \n",
       "157                      111535.930                           0.0   \n",
       "158                      113283.402                           0.0   \n",
       "159                       86849.770                           0.0   \n",
       "160                       16659.621                           0.0   \n",
       "161                       81239.012                           0.0   \n",
       "162                       16749.949                           0.0   \n",
       "163                      206217.871                           0.0   \n",
       "164                      140698.410                           0.0   \n",
       "165                       11347.656                           0.0   \n",
       "166                       22577.113                           0.0   \n",
       "167                       22441.625                           0.0   \n",
       "168                       86458.449                           0.0   \n",
       "169                        8988.344                           0.0   \n",
       "170                       80842.309                           0.0   \n",
       "171                       10155.582                           0.0   \n",
       "172                       34211.293                           0.0   \n",
       "173                      113887.180                           0.0   \n",
       "174                       38552.605                           0.0   \n",
       "175                       14619.535                           0.0   \n",
       "176                      116602.699                           0.0   \n",
       "177                      204069.262                           0.0   \n",
       "178                      203731.578                           0.0   \n",
       "179                       34720.258                           0.0   \n",
       "180                       81229.023                           0.0   \n",
       "181                       13980.750                           0.0   \n",
       "182                        2409.266                           0.0   \n",
       "183                        7296.848                           0.0   \n",
       "184                      204030.258                           0.0   \n",
       "185                        7020.359                           0.0   \n",
       "186                       38438.973                           0.0   \n",
       "187                       82370.535                           0.0   \n",
       "188                      182788.453                           0.0   \n",
       "189                       82175.105                           0.0   \n",
       "190                        8698.121                           0.0   \n",
       "191                       10751.109                           0.0   \n",
       "192                       30254.738                           0.0   \n",
       "193                       17173.172                           0.0   \n",
       "194                       55141.598                           0.0   \n",
       "195                      151985.863                           0.0   \n",
       "196                      202241.875                           0.0   \n",
       "197                      113155.496                           0.0   \n",
       "\n",
       "     memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                          0       0.761905  \\\n",
       "1                                          0       0.761905   \n",
       "2                                          0       0.761905   \n",
       "3                                          0       0.761905   \n",
       "4                                          0       0.666667   \n",
       "5                                          0       0.666667   \n",
       "6                                          0       0.666667   \n",
       "7                                          0       0.666667   \n",
       "8                                          0       0.666667   \n",
       "9                                          0       0.666667   \n",
       "10                                         0       0.666667   \n",
       "11                                         0       0.666667   \n",
       "12                                         0       0.666667   \n",
       "13                                         0       0.666667   \n",
       "14                                         0       0.666667   \n",
       "15                                         0       0.619048   \n",
       "16                                         0       0.619048   \n",
       "17                                         0       0.619048   \n",
       "18                                         0       0.619048   \n",
       "19                                         0       0.619048   \n",
       "20                                         0       0.619048   \n",
       "21                                         0       0.619048   \n",
       "22                                         0       0.619048   \n",
       "23                                         0       0.619048   \n",
       "24                                         0       0.619048   \n",
       "25                                         0       0.619048   \n",
       "26                                         0       0.619048   \n",
       "27                                         0       0.619048   \n",
       "28                                         0       0.619048   \n",
       "29                                         0       0.619048   \n",
       "30                                         0       0.619048   \n",
       "31                                         0       0.571429   \n",
       "32                                         0       0.571429   \n",
       "33                                         0       0.571429   \n",
       "34                                         0       0.571429   \n",
       "35                                         0       0.571429   \n",
       "36                                       167       0.571429   \n",
       "37                                         0       0.571429   \n",
       "38                                         0       0.571429   \n",
       "39                                         0       0.571429   \n",
       "40                                         0       0.571429   \n",
       "41                                         0       0.571429   \n",
       "42                                         0       0.571429   \n",
       "43                                         0       0.571429   \n",
       "44                                         0       0.571429   \n",
       "45                                         0       0.571429   \n",
       "46                                        24       0.571429   \n",
       "47                                         2       0.571429   \n",
       "48                                         0       0.571429   \n",
       "49                                         0       0.571429   \n",
       "50                                         0       0.571429   \n",
       "51                                         0       0.571429   \n",
       "52                                         0       0.571429   \n",
       "53                                         0       0.523810   \n",
       "54                                         0       0.523810   \n",
       "55                                         0       0.523810   \n",
       "56                                         0       0.523810   \n",
       "57                                         0       0.523810   \n",
       "58                                         0       0.523810   \n",
       "59                                         0       0.523810   \n",
       "60                                         0       0.523810   \n",
       "61                                         0       0.523810   \n",
       "62                                         0       0.523810   \n",
       "63                                         0       0.523810   \n",
       "64                                         0       0.523810   \n",
       "65                                         0       0.523810   \n",
       "66                                         0       0.523810   \n",
       "67                                         0       0.523810   \n",
       "68                                         0       0.523810   \n",
       "69                                         0       0.523810   \n",
       "70                                         0       0.523810   \n",
       "71                                         0       0.523810   \n",
       "72                                         0       0.523810   \n",
       "73                                         0       0.523810   \n",
       "74                                         0       0.523810   \n",
       "75                                         0       0.523810   \n",
       "76                                       139       0.523810   \n",
       "77                                         0       0.476190   \n",
       "78                                         2       0.476190   \n",
       "79                                         0       0.476190   \n",
       "80                                         0       0.476190   \n",
       "81                                         0       0.476190   \n",
       "82                                         2       0.476190   \n",
       "83                                         0       0.476190   \n",
       "84                                         0       0.476190   \n",
       "85                                         0       0.476190   \n",
       "86                                         0       0.476190   \n",
       "87                                        26       0.476190   \n",
       "88                                         0       0.476190   \n",
       "89                                         0       0.476190   \n",
       "90                                         0       0.476190   \n",
       "91                                         0       0.476190   \n",
       "92                                         0       0.476190   \n",
       "93                                         0       0.476190   \n",
       "94                                         0       0.476190   \n",
       "95                                         0       0.476190   \n",
       "96                                         0       0.476190   \n",
       "97                                         0       0.476190   \n",
       "98                                         0       0.476190   \n",
       "99                                         0       0.476190   \n",
       "100                                        0       0.476190   \n",
       "101                                        0       0.476190   \n",
       "102                                        0       0.476190   \n",
       "103                                        0       0.476190   \n",
       "104                                        0       0.476190   \n",
       "105                                      140       0.476190   \n",
       "106                                      140       0.476190   \n",
       "107                                        0       0.476190   \n",
       "108                                      139       0.476190   \n",
       "109                                        2       0.476190   \n",
       "110                                        0       0.476190   \n",
       "111                                        0       0.476190   \n",
       "112                                        0       0.476190   \n",
       "113                                        0       0.476190   \n",
       "114                                        0       0.428571   \n",
       "115                                        0       0.428571   \n",
       "116                                        0       0.428571   \n",
       "117                                        2       0.428571   \n",
       "118                                        0       0.428571   \n",
       "119                                        0       0.428571   \n",
       "120                                        0       0.428571   \n",
       "121                                        0       0.428571   \n",
       "122                                        0       0.428571   \n",
       "123                                        0       0.428571   \n",
       "124                                        0       0.428571   \n",
       "125                                        0       0.428571   \n",
       "126                                        0       0.428571   \n",
       "127                                        0       0.428571   \n",
       "128                                        0       0.428571   \n",
       "129                                        0       0.428571   \n",
       "130                                        0       0.428571   \n",
       "131                                        0       0.428571   \n",
       "132                                        0       0.428571   \n",
       "133                                        0       0.428571   \n",
       "134                                        0       0.428571   \n",
       "135                                        0       0.428571   \n",
       "136                                        0       0.428571   \n",
       "137                                        0       0.428571   \n",
       "138                                        0       0.428571   \n",
       "139                                        0       0.428571   \n",
       "140                                        0       0.428571   \n",
       "141                                        0       0.428571   \n",
       "142                                        0       0.428571   \n",
       "143                                      139       0.428571   \n",
       "144                                        0       0.428571   \n",
       "145                                        0       0.380952   \n",
       "146                                        0       0.380952   \n",
       "147                                        0       0.380952   \n",
       "148                                        0       0.380952   \n",
       "149                                        0       0.380952   \n",
       "150                                        0       0.380952   \n",
       "151                                        0       0.380952   \n",
       "152                                        0       0.380952   \n",
       "153                                        0       0.380952   \n",
       "154                                        0       0.380952   \n",
       "155                                        0       0.380952   \n",
       "156                                        2       0.380952   \n",
       "157                                        0       0.380952   \n",
       "158                                        0       0.380952   \n",
       "159                                        0       0.380952   \n",
       "160                                        0       0.380952   \n",
       "161                                        0       0.380952   \n",
       "162                                        0       0.380952   \n",
       "163                                        0       0.380952   \n",
       "164                                        0       0.380952   \n",
       "165                                        0       0.380952   \n",
       "166                                        0       0.380952   \n",
       "167                                        0       0.380952   \n",
       "168                                        0       0.380952   \n",
       "169                                      140       0.333333   \n",
       "170                                        0       0.333333   \n",
       "171                                        2       0.333333   \n",
       "172                                        0       0.333333   \n",
       "173                                        0       0.333333   \n",
       "174                                        0       0.333333   \n",
       "175                                        2       0.333333   \n",
       "176                                        0       0.333333   \n",
       "177                                        0       0.333333   \n",
       "178                                        0       0.333333   \n",
       "179                                        0       0.333333   \n",
       "180                                        0       0.333333   \n",
       "181                                        0       0.333333   \n",
       "182                                        0       0.333333   \n",
       "183                                        2       0.333333   \n",
       "184                                        0       0.333333   \n",
       "185                                        2       0.333333   \n",
       "186                                        0       0.333333   \n",
       "187                                        0       0.333333   \n",
       "188                                      140       0.333333   \n",
       "189                                        0       0.285714   \n",
       "190                                        0       0.285714   \n",
       "191                                        2       0.285714   \n",
       "192                                        0       0.285714   \n",
       "193                                        0       0.285714   \n",
       "194                                        0       0.238095   \n",
       "195                                        0       0.238095   \n",
       "196                                        0       0.190476   \n",
       "197                                        0       0.190476   \n",
       "\n",
       "                       best parameters for the complex   \n",
       "0    {'Estimator': RandomForestClassifier(max_depth...  \\\n",
       "1    {'Estimator': RandomForestClassifier(max_depth...   \n",
       "2    {'Estimator': RandomForestClassifier(max_depth...   \n",
       "3    {'Estimator': RandomForestClassifier(max_depth...   \n",
       "4    {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "5    {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "6    {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "7    {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "8    {'Estimator': RandomForestClassifier(max_depth...   \n",
       "9    {'Estimator': RandomForestClassifier(max_depth...   \n",
       "10   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "11   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "12   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "13   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "14   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "15   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "16   {'Estimator': RandomForestClassifier(), 'Estim...   \n",
       "17   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "18   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "19   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "20   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "21   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "22   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "23   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "24   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "25   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "26   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "27   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "28   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "29   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "30   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "31   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "32   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "33   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "34   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "35   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "36   {'Estimator': RandomForestClassifier(), 'Estim...   \n",
       "37   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "38   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "39   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "40   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "41   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "42   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "43   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "44   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "45   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "46   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "47   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "48   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "49   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "50   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "51   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "52   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "53   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "54   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "55   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "56   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "57   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "58   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "59   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "60   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "61   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "62   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "63   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "64   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "65   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "66   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "67   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "68   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "69   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "70   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "71   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "72   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "73   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "74   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "75   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "76   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "77   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "78   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "79   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "80   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "81   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "82   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "83   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "84   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "85   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "86   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "87   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "88   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "89   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "90   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "91   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "92   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "93   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "94   {'Estimator': RandomForestClassifier(), 'Estim...   \n",
       "95   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "96   {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "97   {'Estimator': RandomForestClassifier(max_depth...   \n",
       "98   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "99   {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "100  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "101  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "102  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "103  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "104  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "105  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "106  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "107  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "108  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "109  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "110  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "111  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "112  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "113  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "114  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "115  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "116  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "117  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "118  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "119  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "120  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "121  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "122  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "123  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "124  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "125  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "126  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "127  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "128  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "129  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "130  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "131  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "132  {'Estimator': RandomForestClassifier(), 'Estim...   \n",
       "133  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "134  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "135  {'Estimator': RandomForestClassifier(), 'Estim...   \n",
       "136  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "137  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "138  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "139  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "140  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "141  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "142  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "143  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "144  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "145  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "146  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "147  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "148  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "149  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "150  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "151  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "152  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "153  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "154  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "155  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "156  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "157  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "158  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "159  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "160  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "161  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "162  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "163  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "164  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "165  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "166  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "167  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "168  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "169  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "170  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "171  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "172  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "173  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "174  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "175  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "176  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "177  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "178  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "179  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "180  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "181  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "182  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "183  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "184  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "185  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "186  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "187  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "188  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "189  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "190  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "191  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "192  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "193  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "194  {'Estimator': RandomForestClassifier(max_depth...   \n",
       "195  {'Estimator': RandomForestClassifier(n_estimat...   \n",
       "196  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "197  {'Estimator': RandomForestClassifier(min_sampl...   \n",
       "\n",
       "                   Estimator  \n",
       "0     RandomForestClassifier  \n",
       "1     RandomForestClassifier  \n",
       "2     RandomForestClassifier  \n",
       "3     RandomForestClassifier  \n",
       "4     RandomForestClassifier  \n",
       "5     RandomForestClassifier  \n",
       "6     RandomForestClassifier  \n",
       "7     RandomForestClassifier  \n",
       "8     RandomForestClassifier  \n",
       "9     RandomForestClassifier  \n",
       "10    RandomForestClassifier  \n",
       "11    RandomForestClassifier  \n",
       "12    RandomForestClassifier  \n",
       "13    RandomForestClassifier  \n",
       "14    RandomForestClassifier  \n",
       "15    RandomForestClassifier  \n",
       "16    RandomForestClassifier  \n",
       "17    RandomForestClassifier  \n",
       "18    RandomForestClassifier  \n",
       "19    RandomForestClassifier  \n",
       "20    RandomForestClassifier  \n",
       "21    RandomForestClassifier  \n",
       "22    RandomForestClassifier  \n",
       "23    RandomForestClassifier  \n",
       "24    RandomForestClassifier  \n",
       "25    RandomForestClassifier  \n",
       "26    RandomForestClassifier  \n",
       "27    RandomForestClassifier  \n",
       "28    RandomForestClassifier  \n",
       "29    RandomForestClassifier  \n",
       "30    RandomForestClassifier  \n",
       "31    RandomForestClassifier  \n",
       "32    RandomForestClassifier  \n",
       "33    RandomForestClassifier  \n",
       "34    RandomForestClassifier  \n",
       "35    RandomForestClassifier  \n",
       "36    RandomForestClassifier  \n",
       "37    RandomForestClassifier  \n",
       "38    RandomForestClassifier  \n",
       "39    RandomForestClassifier  \n",
       "40    RandomForestClassifier  \n",
       "41    RandomForestClassifier  \n",
       "42    RandomForestClassifier  \n",
       "43    RandomForestClassifier  \n",
       "44    RandomForestClassifier  \n",
       "45    RandomForestClassifier  \n",
       "46    RandomForestClassifier  \n",
       "47    RandomForestClassifier  \n",
       "48    RandomForestClassifier  \n",
       "49    RandomForestClassifier  \n",
       "50    RandomForestClassifier  \n",
       "51    RandomForestClassifier  \n",
       "52    RandomForestClassifier  \n",
       "53    RandomForestClassifier  \n",
       "54    RandomForestClassifier  \n",
       "55    RandomForestClassifier  \n",
       "56    RandomForestClassifier  \n",
       "57    RandomForestClassifier  \n",
       "58    RandomForestClassifier  \n",
       "59    RandomForestClassifier  \n",
       "60    RandomForestClassifier  \n",
       "61    RandomForestClassifier  \n",
       "62    RandomForestClassifier  \n",
       "63    RandomForestClassifier  \n",
       "64    RandomForestClassifier  \n",
       "65    RandomForestClassifier  \n",
       "66    RandomForestClassifier  \n",
       "67    RandomForestClassifier  \n",
       "68    RandomForestClassifier  \n",
       "69    RandomForestClassifier  \n",
       "70    RandomForestClassifier  \n",
       "71    RandomForestClassifier  \n",
       "72    RandomForestClassifier  \n",
       "73    RandomForestClassifier  \n",
       "74    RandomForestClassifier  \n",
       "75    RandomForestClassifier  \n",
       "76    RandomForestClassifier  \n",
       "77    RandomForestClassifier  \n",
       "78    RandomForestClassifier  \n",
       "79    RandomForestClassifier  \n",
       "80    RandomForestClassifier  \n",
       "81    RandomForestClassifier  \n",
       "82    RandomForestClassifier  \n",
       "83    RandomForestClassifier  \n",
       "84    RandomForestClassifier  \n",
       "85    RandomForestClassifier  \n",
       "86    RandomForestClassifier  \n",
       "87    RandomForestClassifier  \n",
       "88    RandomForestClassifier  \n",
       "89    RandomForestClassifier  \n",
       "90    RandomForestClassifier  \n",
       "91    RandomForestClassifier  \n",
       "92    RandomForestClassifier  \n",
       "93    RandomForestClassifier  \n",
       "94    RandomForestClassifier  \n",
       "95    RandomForestClassifier  \n",
       "96    RandomForestClassifier  \n",
       "97    RandomForestClassifier  \n",
       "98    RandomForestClassifier  \n",
       "99    RandomForestClassifier  \n",
       "100   RandomForestClassifier  \n",
       "101   RandomForestClassifier  \n",
       "102   RandomForestClassifier  \n",
       "103   RandomForestClassifier  \n",
       "104   RandomForestClassifier  \n",
       "105   RandomForestClassifier  \n",
       "106   RandomForestClassifier  \n",
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       "108   RandomForestClassifier  \n",
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       "110   RandomForestClassifier  \n",
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       "148   RandomForestClassifier  \n",
       "149   RandomForestClassifier  \n",
       "150   RandomForestClassifier  \n",
       "151   RandomForestClassifier  \n",
       "152   RandomForestClassifier  \n",
       "153   RandomForestClassifier  \n",
       "154   RandomForestClassifier  \n",
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       "156   RandomForestClassifier  \n",
       "157   RandomForestClassifier  \n",
       "158   RandomForestClassifier  \n",
       "159   RandomForestClassifier  \n",
       "160   RandomForestClassifier  \n",
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       "162   RandomForestClassifier  \n",
       "163   RandomForestClassifier  \n",
       "164   RandomForestClassifier  \n",
       "165   RandomForestClassifier  \n",
       "166   RandomForestClassifier  \n",
       "167   RandomForestClassifier  \n",
       "168   RandomForestClassifier  \n",
       "169   RandomForestClassifier  \n",
       "170   RandomForestClassifier  \n",
       "171   RandomForestClassifier  \n",
       "172   RandomForestClassifier  \n",
       "173   RandomForestClassifier  \n",
       "174   RandomForestClassifier  \n",
       "175   RandomForestClassifier  \n",
       "176   RandomForestClassifier  \n",
       "177   RandomForestClassifier  \n",
       "178   RandomForestClassifier  \n",
       "179   RandomForestClassifier  \n",
       "180   RandomForestClassifier  \n",
       "181   RandomForestClassifier  \n",
       "182   RandomForestClassifier  \n",
       "183   RandomForestClassifier  \n",
       "184   RandomForestClassifier  \n",
       "185   RandomForestClassifier  \n",
       "186   RandomForestClassifier  \n",
       "187   RandomForestClassifier  \n",
       "188   RandomForestClassifier  \n",
       "189   RandomForestClassifier  \n",
       "190   RandomForestClassifier  \n",
       "191   RandomForestClassifier  \n",
       "192   RandomForestClassifier  \n",
       "193   RandomForestClassifier  \n",
       "194   RandomForestClassifier  \n",
       "195   RandomForestClassifier  \n",
       "196   RandomForestClassifier  \n",
       "197   RandomForestClassifier  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_edge_test_1=pd.read_csv(\"results2edge_6245.csv\")\n",
    "df_edge_test_2=pd.read_csv(\"results2edge_625.csv\")\n",
    "df_edge_test_3=pd.read_csv(\"results2edge_62588.csv\")\n",
    "df_edge_test_4=pd.read_csv(\"results2edge_6255558.csv\")\n",
    "df_edge_test_5=pd.read_csv(\"results2edge_76338.csv\")\n",
    "df_edge_test_6=pd.read_csv(\"results2edge_336238.csv\")\n",
    "df_edge_test_7=pd.read_csv(\"results2edge_621238.csv\")\n",
    "df_edge_test_8=pd.read_csv(\"results2edge_7644338.csv\")\n",
    "df_edge_test_9=pd.read_csv(\"results2edge_9986.csv\")\n",
    "df_edge_test_10=pd.read_csv(\"results2edge_89846.csv\")\n",
    "df_edge_test_11=pd.read_csv(\"results2edge_56238.csv\")\n",
    "\n",
    "df_edge_test_pipeline1=pd.concat([df_edge_test_1,df_edge_test_2,df_edge_test_3,df_edge_test_4,df_edge_test_5,df_edge_test_6,df_edge_test_7,df_edge_test_8,df_edge_test_9,df_edge_test_10,df_edge_test_11])\n",
    "df_edge_test_pipeline1=df_edge_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_edge_test_pipeline1 = df_edge_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_edge_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "\n",
    "\n",
    "df_edge_test_pipeline1 = pd.concat([df_complex, df_edge_test_pipeline1], axis=1)\n",
    "df_edge_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_edge_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "75028.74947474748\n",
      "1173.6455454545455\n",
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      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, min_samples_split=5,\n",
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      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, min_samples_split=5), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=4, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=200), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=5), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n"
     ]
    }
   ],
   "source": [
    "print(np.mean(df_edge_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(np.mean(df_edge_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_edge_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Memory:  95876.1323548387\n",
      "Mean Time:  1262.4036774193544\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=200), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=5), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=4, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, min_samples_split=5,\n",
      "                       n_estimators=200), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=4, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "mask = df_edge_test_pipeline1['test_accuracy'] > 0.6\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_edge_test_pipeline1[mask]\n",
    "print(\"Mean Memory: \",np.mean(filtered_df[\"elapsed_memory\"]))\n",
    "print(\"Mean Time: \", np.mean(filtered_df[\"elapsed_time\"]))\n",
    "\n",
    "for e in filtered_df['best parameters for the complex']:\n",
    "    print(e)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>3</td>\n",
       "      <td>924.289</td>\n",
       "      <td>24812.172</td>\n",
       "      <td>0.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>2</td>\n",
       "      <td>1236.627</td>\n",
       "      <td>112081.469</td>\n",
       "      <td>0.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>3</td>\n",
       "      <td>1172.248</td>\n",
       "      <td>80295.172</td>\n",
       "      <td>0.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>3</td>\n",
       "      <td>1293.219</td>\n",
       "      <td>62795.770</td>\n",
       "      <td>0.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.668441</td>\n",
       "      <td>2</td>\n",
       "      <td>1596.168</td>\n",
       "      <td>113415.434</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>3</td>\n",
       "      <td>1233.926</td>\n",
       "      <td>116561.141</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>3</td>\n",
       "      <td>926.261</td>\n",
       "      <td>20598.227</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>3</td>\n",
       "      <td>1182.370</td>\n",
       "      <td>29931.305</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>2</td>\n",
       "      <td>1414.106</td>\n",
       "      <td>155012.613</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>3</td>\n",
       "      <td>1555.586</td>\n",
       "      <td>154611.320</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>3</td>\n",
       "      <td>1034.109</td>\n",
       "      <td>57096.082</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>2</td>\n",
       "      <td>1457.967</td>\n",
       "      <td>198953.895</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>2</td>\n",
       "      <td>1237.675</td>\n",
       "      <td>116556.375</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.355923</td>\n",
       "      <td>3</td>\n",
       "      <td>969.423</td>\n",
       "      <td>24104.117</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>2</td>\n",
       "      <td>889.316</td>\n",
       "      <td>10451.992</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.858712</td>\n",
       "      <td>2</td>\n",
       "      <td>1885.815</td>\n",
       "      <td>205436.926</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>3</td>\n",
       "      <td>1095.164</td>\n",
       "      <td>55036.301</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.858712</td>\n",
       "      <td>3</td>\n",
       "      <td>1880.667</td>\n",
       "      <td>205246.816</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>2</td>\n",
       "      <td>1051.579</td>\n",
       "      <td>57208.250</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>3</td>\n",
       "      <td>935.718</td>\n",
       "      <td>9664.074</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.517931</td>\n",
       "      <td>3</td>\n",
       "      <td>1354.568</td>\n",
       "      <td>54687.297</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.741360</td>\n",
       "      <td>3</td>\n",
       "      <td>1359.259</td>\n",
       "      <td>153521.730</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.731654</td>\n",
       "      <td>2</td>\n",
       "      <td>1341.635</td>\n",
       "      <td>149649.023</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>3</td>\n",
       "      <td>1300.524</td>\n",
       "      <td>148420.855</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>3</td>\n",
       "      <td>1107.605</td>\n",
       "      <td>80750.793</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.579512</td>\n",
       "      <td>3</td>\n",
       "      <td>1156.686</td>\n",
       "      <td>83584.953</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>2</td>\n",
       "      <td>1035.554</td>\n",
       "      <td>57096.766</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.844886</td>\n",
       "      <td>2</td>\n",
       "      <td>1817.183</td>\n",
       "      <td>192692.906</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.370012</td>\n",
       "      <td>3</td>\n",
       "      <td>922.653</td>\n",
       "      <td>17419.137</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.580863</td>\n",
       "      <td>2</td>\n",
       "      <td>1425.537</td>\n",
       "      <td>72631.516</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>2</td>\n",
       "      <td>1341.077</td>\n",
       "      <td>151835.676</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_edge_length  nb_iterations  elapsed_time  elapsed_memory   \n",
       "0          edge         0.358031              3       924.289       24812.172  \\\n",
       "1          edge         0.661717              2      1236.627      112081.469   \n",
       "2          edge         0.585445              3      1172.248       80295.172   \n",
       "3          edge         0.496333              3      1293.219       62795.770   \n",
       "4          edge         0.668441              2      1596.168      113415.434   \n",
       "5          edge         0.671234              3      1233.926      116561.141   \n",
       "6          edge         0.364614              3       926.261       20598.227   \n",
       "7          edge         0.353158              3      1182.370       29931.305   \n",
       "8          edge         0.726875              2      1414.106      155012.613   \n",
       "9          edge         0.726875              3      1555.586      154611.320   \n",
       "10         edge         0.503620              3      1034.109       57096.082   \n",
       "11         edge         0.836201              2      1457.967      198953.895   \n",
       "12         edge         0.671234              2      1237.675      116556.375   \n",
       "13         edge         0.355923              3       969.423       24104.117   \n",
       "14         edge         0.284186              2       889.316       10451.992   \n",
       "15         edge         0.858712              2      1885.815      205436.926   \n",
       "16         edge         0.512279              3      1095.164       55036.301   \n",
       "17         edge         0.858712              3      1880.667      205246.816   \n",
       "18         edge         0.501485              2      1051.579       57208.250   \n",
       "19         edge         0.277081              3       935.718        9664.074   \n",
       "20         edge         0.517931              3      1354.568       54687.297   \n",
       "21         edge         0.741360              3      1359.259      153521.730   \n",
       "22         edge         0.731654              2      1341.635      149649.023   \n",
       "23         edge         0.732426              3      1300.524      148420.855   \n",
       "24         edge         0.575211              3      1107.605       80750.793   \n",
       "25         edge         0.579512              3      1156.686       83584.953   \n",
       "26         edge         0.503620              2      1035.554       57096.766   \n",
       "27         edge         0.844886              2      1817.183      192692.906   \n",
       "28         edge         0.370012              3       922.653       17419.137   \n",
       "29         edge         0.580863              2      1425.537       72631.516   \n",
       "30         edge         0.746055              2      1341.077      151835.676   \n",
       "\n",
       "    test_accuracy  \n",
       "0        0.761905  \n",
       "1        0.761905  \n",
       "2        0.761905  \n",
       "3        0.761905  \n",
       "4        0.666667  \n",
       "5        0.666667  \n",
       "6        0.666667  \n",
       "7        0.666667  \n",
       "8        0.666667  \n",
       "9        0.666667  \n",
       "10       0.666667  \n",
       "11       0.666667  \n",
       "12       0.666667  \n",
       "13       0.666667  \n",
       "14       0.666667  \n",
       "15       0.619048  \n",
       "16       0.619048  \n",
       "17       0.619048  \n",
       "18       0.619048  \n",
       "19       0.619048  \n",
       "20       0.619048  \n",
       "21       0.619048  \n",
       "22       0.619048  \n",
       "23       0.619048  \n",
       "24       0.619048  \n",
       "25       0.619048  \n",
       "26       0.619048  \n",
       "27       0.619048  \n",
       "28       0.619048  \n",
       "29       0.619048  \n",
       "30       0.619048  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask = df_edge_test_pipeline1['test_accuracy'] > 0.6\n",
    "columns_to_keep = ['complex_type', 'max_edge_length','nb_iterations', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "\n",
    "# Keep only the specified columns\n",
    "df_edge_test_pipeline1_filtered = df_edge_test_pipeline1[columns_to_keep]\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_edge_test_pipeline1_filtered[mask]\n",
    "filtered_df"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(max_edge_length\n",
       " 0.858712    2\n",
       " 0.671234    2\n",
       " 0.726875    2\n",
       " 0.503620    2\n",
       " 0.501485    1\n",
       " 0.580863    1\n",
       " 0.370012    1\n",
       " 0.844886    1\n",
       " 0.579512    1\n",
       " 0.575211    1\n",
       " 0.732426    1\n",
       " 0.731654    1\n",
       " 0.741360    1\n",
       " 0.517931    1\n",
       " 0.277081    1\n",
       " 0.358031    1\n",
       " 0.512279    1\n",
       " 0.661717    1\n",
       " 0.284186    1\n",
       " 0.355923    1\n",
       " 0.836201    1\n",
       " 0.353158    1\n",
       " 0.364614    1\n",
       " 0.668441    1\n",
       " 0.496333    1\n",
       " 0.585445    1\n",
       " 0.746055    1\n",
       " Name: count, dtype: int64,\n",
       " nb_iterations\n",
       " 3    18\n",
       " 2    13\n",
       " Name: count, dtype: int64)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df['max_edge_length'].value_counts(), filtered_df['nb_iterations'].value_counts()\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for Edge Collapse Rips Complex: \n",
    "* Best persistence representations: Persistence Image // Landscape\n",
    "* Best precision: exact\n",
    "* Mean of elapsed_time: 1156.59575\n",
    "* Mean of elapsed_memory: 69996.14 MB\n",
    "* Best test accuracy: 0.762\n",
    "* Best elapsed time for best acc:924.289 seconds\n",
    "* Best number of iterations: 3\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rips Complex :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>sparse</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4051.952</td>\n",
       "      <td>3203.224</td>\n",
       "      <td>0.000</td>\n",
       "      <td>849</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282771</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1793.627</td>\n",
       "      <td>955.274</td>\n",
       "      <td>0.000</td>\n",
       "      <td>838</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>8796.108</td>\n",
       "      <td>7687.874</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1108</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2523.064</td>\n",
       "      <td>1634.997</td>\n",
       "      <td>0.000</td>\n",
       "      <td>888</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>11925.929</td>\n",
       "      <td>11036.550</td>\n",
       "      <td>0.000</td>\n",
       "      <td>889</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>268</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16397.743</td>\n",
       "      <td>15570.073</td>\n",
       "      <td>0.001</td>\n",
       "      <td>828</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2089.808</td>\n",
       "      <td>1242.662</td>\n",
       "      <td>0.000</td>\n",
       "      <td>847</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362385</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2592.378</td>\n",
       "      <td>1758.003</td>\n",
       "      <td>0.000</td>\n",
       "      <td>834</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12063.922</td>\n",
       "      <td>11213.172</td>\n",
       "      <td>0.000</td>\n",
       "      <td>851</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1321.127</td>\n",
       "      <td>461.825</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1321.127</td>\n",
       "      <td>461.825</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.429650</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4477.655</td>\n",
       "      <td>3634.068</td>\n",
       "      <td>0.000</td>\n",
       "      <td>844</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5673.698</td>\n",
       "      <td>4836.218</td>\n",
       "      <td>0.000</td>\n",
       "      <td>837</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12063.922</td>\n",
       "      <td>11213.172</td>\n",
       "      <td>0.000</td>\n",
       "      <td>851</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16660.473</td>\n",
       "      <td>15773.462</td>\n",
       "      <td>0.000</td>\n",
       "      <td>887</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.619048</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.567462</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9166.072</td>\n",
       "      <td>8312.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>854</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.863527</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>17421.178</td>\n",
       "      <td>16564.252</td>\n",
       "      <td>0.000</td>\n",
       "      <td>857</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.863527</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>17421.178</td>\n",
       "      <td>16564.252</td>\n",
       "      <td>0.000</td>\n",
       "      <td>857</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.585445</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7548.634</td>\n",
       "      <td>6665.669</td>\n",
       "      <td>0.000</td>\n",
       "      <td>883</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.512279</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5125.736</td>\n",
       "      <td>4240.977</td>\n",
       "      <td>0.000</td>\n",
       "      <td>885</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439468</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3638.154</td>\n",
       "      <td>2753.162</td>\n",
       "      <td>0.000</td>\n",
       "      <td>885</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.508263</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5455.381</td>\n",
       "      <td>4621.202</td>\n",
       "      <td>0.000</td>\n",
       "      <td>834</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190465</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1427.312</td>\n",
       "      <td>537.414</td>\n",
       "      <td>0.000</td>\n",
       "      <td>890</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.446094</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3027.101</td>\n",
       "      <td>2168.124</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.446094</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3027.101</td>\n",
       "      <td>2168.124</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.753060</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16641.602</td>\n",
       "      <td>15537.435</td>\n",
       "      <td>0.001</td>\n",
       "      <td>1104</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.278639</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2541.173</td>\n",
       "      <td>1601.076</td>\n",
       "      <td>0.000</td>\n",
       "      <td>940</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4803</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.439020</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2160.666</td>\n",
       "      <td>1565.715</td>\n",
       "      <td>0.000</td>\n",
       "      <td>595</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.847134</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16988.055</td>\n",
       "      <td>16160.408</td>\n",
       "      <td>0.000</td>\n",
       "      <td>828</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.370012</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1995.277</td>\n",
       "      <td>1138.300</td>\n",
       "      <td>0.000</td>\n",
       "      <td>857</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.741360</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>13078.006</td>\n",
       "      <td>12252.209</td>\n",
       "      <td>0.000</td>\n",
       "      <td>826</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.519768</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4572.085</td>\n",
       "      <td>3712.719</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.519768</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4572.085</td>\n",
       "      <td>3712.719</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9077.914</td>\n",
       "      <td>8218.980</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.370012</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1995.277</td>\n",
       "      <td>1138.300</td>\n",
       "      <td>0.000</td>\n",
       "      <td>857</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.435037</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3979.767</td>\n",
       "      <td>3088.396</td>\n",
       "      <td>0.000</td>\n",
       "      <td>891</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.738313</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12756.287</td>\n",
       "      <td>11860.511</td>\n",
       "      <td>0.000</td>\n",
       "      <td>896</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.852741</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>11195.007</td>\n",
       "      <td>10577.613</td>\n",
       "      <td>0.000</td>\n",
       "      <td>617</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284282</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1003.727</td>\n",
       "      <td>411.499</td>\n",
       "      <td>0.000</td>\n",
       "      <td>592</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.284186</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1781.989</td>\n",
       "      <td>899.623</td>\n",
       "      <td>0.000</td>\n",
       "      <td>882</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.355923</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3206.084</td>\n",
       "      <td>2314.892</td>\n",
       "      <td>0.000</td>\n",
       "      <td>891</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>329</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.832011</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>24636.766</td>\n",
       "      <td>23579.449</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1057</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.726875</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>16943.494</td>\n",
       "      <td>15873.332</td>\n",
       "      <td>0.001</td>\n",
       "      <td>1070</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.648507</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>11646.228</td>\n",
       "      <td>10806.183</td>\n",
       "      <td>0.000</td>\n",
       "      <td>840</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.671234</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9077.914</td>\n",
       "      <td>8218.980</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.360889</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3032.289</td>\n",
       "      <td>2138.119</td>\n",
       "      <td>0.000</td>\n",
       "      <td>894</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.654961</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9938.472</td>\n",
       "      <td>9040.696</td>\n",
       "      <td>0.001</td>\n",
       "      <td>898</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.851250</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>19816.396</td>\n",
       "      <td>18965.231</td>\n",
       "      <td>0.000</td>\n",
       "      <td>851</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.501485</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6107.065</td>\n",
       "      <td>5215.944</td>\n",
       "      <td>0.000</td>\n",
       "      <td>891</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.573518</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>8223.067</td>\n",
       "      <td>7333.390</td>\n",
       "      <td>0.000</td>\n",
       "      <td>890</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188862</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1773.281</td>\n",
       "      <td>773.998</td>\n",
       "      <td>0.000</td>\n",
       "      <td>999</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.731654</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>15794.165</td>\n",
       "      <td>14954.651</td>\n",
       "      <td>0.000</td>\n",
       "      <td>840</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.277081</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2216.549</td>\n",
       "      <td>1327.975</td>\n",
       "      <td>0.000</td>\n",
       "      <td>889</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.353158</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2914.020</td>\n",
       "      <td>2063.633</td>\n",
       "      <td>0.000</td>\n",
       "      <td>850</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.425860</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4046.006</td>\n",
       "      <td>3199.697</td>\n",
       "      <td>0.000</td>\n",
       "      <td>846</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.649735</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>9719.034</td>\n",
       "      <td>8886.360</td>\n",
       "      <td>0.000</td>\n",
       "      <td>833</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.642946</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12166.129</td>\n",
       "      <td>11320.146</td>\n",
       "      <td>0.000</td>\n",
       "      <td>846</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.858712</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>21874.915</td>\n",
       "      <td>20767.816</td>\n",
       "      <td>0.001</td>\n",
       "      <td>1107</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(), 'Estim...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.191933</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1473.155</td>\n",
       "      <td>357.347</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1116</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.575211</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7384.840</td>\n",
       "      <td>6547.318</td>\n",
       "      <td>0.000</td>\n",
       "      <td>838</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.185702</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1700.767</td>\n",
       "      <td>809.689</td>\n",
       "      <td>0.000</td>\n",
       "      <td>891</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.661309</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6010.080</td>\n",
       "      <td>5416.182</td>\n",
       "      <td>0.000</td>\n",
       "      <td>594</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.584920</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4449.586</td>\n",
       "      <td>3856.154</td>\n",
       "      <td>0.000</td>\n",
       "      <td>593</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.444201</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>4483.982</td>\n",
       "      <td>3373.861</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1110</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.746140</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>8043.883</td>\n",
       "      <td>7428.039</td>\n",
       "      <td>0.000</td>\n",
       "      <td>616</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.368151</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2872.832</td>\n",
       "      <td>1760.844</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1112</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.836201</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>17993.646</td>\n",
       "      <td>17151.378</td>\n",
       "      <td>0.000</td>\n",
       "      <td>842</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.593858</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6465.836</td>\n",
       "      <td>5605.682</td>\n",
       "      <td>0.000</td>\n",
       "      <td>860</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.593858</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6465.836</td>\n",
       "      <td>5605.682</td>\n",
       "      <td>0.000</td>\n",
       "      <td>860</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.496333</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5928.494</td>\n",
       "      <td>5083.820</td>\n",
       "      <td>0.000</td>\n",
       "      <td>845</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.364314</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1463.312</td>\n",
       "      <td>869.410</td>\n",
       "      <td>0.000</td>\n",
       "      <td>594</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.286635</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2048.320</td>\n",
       "      <td>943.959</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1104</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.428571</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.193332</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>955.155</td>\n",
       "      <td>95.727</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.511730</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3153.261</td>\n",
       "      <td>2560.567</td>\n",
       "      <td>0.000</td>\n",
       "      <td>593</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.193332</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>955.155</td>\n",
       "      <td>95.727</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.656895</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>10286.573</td>\n",
       "      <td>9459.702</td>\n",
       "      <td>0.000</td>\n",
       "      <td>827</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.281477</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>2293.329</td>\n",
       "      <td>1305.431</td>\n",
       "      <td>0.000</td>\n",
       "      <td>988</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.668441</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12164.555</td>\n",
       "      <td>11057.429</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1107</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.517931</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>6566.259</td>\n",
       "      <td>5455.177</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1111</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.732426</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>12541.017</td>\n",
       "      <td>11715.484</td>\n",
       "      <td>0.000</td>\n",
       "      <td>826</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.580828</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7179.970</td>\n",
       "      <td>6352.938</td>\n",
       "      <td>0.000</td>\n",
       "      <td>827</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.436307</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3753.498</td>\n",
       "      <td>2923.597</td>\n",
       "      <td>0.000</td>\n",
       "      <td>830</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.189922</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1354.073</td>\n",
       "      <td>515.454</td>\n",
       "      <td>0.000</td>\n",
       "      <td>839</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.842572</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>17199.399</td>\n",
       "      <td>16301.753</td>\n",
       "      <td>0.000</td>\n",
       "      <td>898</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.507096</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>5643.181</td>\n",
       "      <td>4764.589</td>\n",
       "      <td>0.000</td>\n",
       "      <td>879</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.184333</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1725.006</td>\n",
       "      <td>833.432</td>\n",
       "      <td>0.000</td>\n",
       "      <td>892</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.358031</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>3112.715</td>\n",
       "      <td>2271.038</td>\n",
       "      <td>0.001</td>\n",
       "      <td>842</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.186441</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>1984.033</td>\n",
       "      <td>1032.990</td>\n",
       "      <td>0.000</td>\n",
       "      <td>951</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.579512</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>7715.018</td>\n",
       "      <td>6820.864</td>\n",
       "      <td>0.000</td>\n",
       "      <td>894</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.238095</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>rips</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.190604</td>\n",
       "      <td>{'complex_type': 'rips', 'max_dimension': 2, '...</td>\n",
       "      <td>760.475</td>\n",
       "      <td>163.312</td>\n",
       "      <td>0.000</td>\n",
       "      <td>597</td>\n",
       "      <td>inf</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_dimension sparse  max_edge_length   \n",
       "0          rips              2   None         0.431968  \\\n",
       "1          rips              2   None         0.282771   \n",
       "2          rips              2   None         0.591743   \n",
       "3          rips              2   None         0.364614   \n",
       "4          rips              2   None         0.661717   \n",
       "5          rips              2   None         0.836042   \n",
       "6          rips              2   None         0.275171   \n",
       "7          rips              2   None         0.362385   \n",
       "8          rips              2   None         0.756757   \n",
       "9          rips              2   None         0.288394   \n",
       "10         rips              2   None         0.288394   \n",
       "11         rips              2   None         0.429650   \n",
       "12         rips              2   None         0.503620   \n",
       "13         rips              2   None         0.756757   \n",
       "14         rips              2   None         0.746055   \n",
       "15         rips              2   None         0.567462   \n",
       "16         rips              2   None         0.863527   \n",
       "17         rips              2   None         0.863527   \n",
       "18         rips              2   None         0.585445   \n",
       "19         rips              2   None         0.512279   \n",
       "20         rips              2   None         0.439468   \n",
       "21         rips              2   None         0.508263   \n",
       "22         rips              2   None         0.190465   \n",
       "23         rips              2   None         0.446094   \n",
       "24         rips              2   None         0.446094   \n",
       "25         rips              2   None         0.753060   \n",
       "26         rips              2   None         0.278639   \n",
       "27         rips              2   None         0.439020   \n",
       "28         rips              2   None         0.847134   \n",
       "29         rips              2   None         0.370012   \n",
       "30         rips              2   None         0.741360   \n",
       "31         rips              2   None         0.519768   \n",
       "32         rips              2   None         0.519768   \n",
       "33         rips              2   None         0.671234   \n",
       "34         rips              2   None         0.370012   \n",
       "35         rips              2   None         0.435037   \n",
       "36         rips              2   None         0.738313   \n",
       "37         rips              2   None         0.852741   \n",
       "38         rips              2   None         0.284282   \n",
       "39         rips              2   None         0.284186   \n",
       "40         rips              2   None         0.355923   \n",
       "41         rips              2   None         0.832011   \n",
       "42         rips              2   None         0.726875   \n",
       "43         rips              2   None         0.648507   \n",
       "44         rips              2   None         0.671234   \n",
       "45         rips              2   None         0.360889   \n",
       "46         rips              2   None         0.654961   \n",
       "47         rips              2   None         0.851250   \n",
       "48         rips              2   None         0.501485   \n",
       "49         rips              2   None         0.573518   \n",
       "50         rips              2   None         0.188862   \n",
       "51         rips              2   None         0.731654   \n",
       "52         rips              2   None         0.277081   \n",
       "53         rips              2   None         0.353158   \n",
       "54         rips              2   None         0.425860   \n",
       "55         rips              2   None         0.649735   \n",
       "56         rips              2   None         0.642946   \n",
       "57         rips              2   None         0.858712   \n",
       "58         rips              2   None         0.191933   \n",
       "59         rips              2   None         0.575211   \n",
       "60         rips              2   None         0.185702   \n",
       "61         rips              2   None         0.661309   \n",
       "62         rips              2   None         0.584920   \n",
       "63         rips              2   None         0.444201   \n",
       "64         rips              2   None         0.746140   \n",
       "65         rips              2   None         0.368151   \n",
       "66         rips              2   None         0.836201   \n",
       "67         rips              2   None         0.593858   \n",
       "68         rips              2   None         0.593858   \n",
       "69         rips              2   None         0.496333   \n",
       "70         rips              2   None         0.364314   \n",
       "71         rips              2   None         0.286635   \n",
       "72         rips              2   None         0.193332   \n",
       "73         rips              2   None         0.511730   \n",
       "74         rips              2   None         0.193332   \n",
       "75         rips              2   None         0.656895   \n",
       "76         rips              2   None         0.281477   \n",
       "77         rips              2   None         0.668441   \n",
       "78         rips              2   None         0.517931   \n",
       "79         rips              2   None         0.732426   \n",
       "80         rips              2   None         0.580828   \n",
       "81         rips              2   None         0.436307   \n",
       "82         rips              2   None         0.189922   \n",
       "83         rips              2   None         0.842572   \n",
       "84         rips              2   None         0.507096   \n",
       "85         rips              2   None         0.184333   \n",
       "86         rips              2   None         0.358031   \n",
       "87         rips              2   None         0.186441   \n",
       "88         rips              2   None         0.579512   \n",
       "89         rips              2   None         0.190604   \n",
       "\n",
       "                                   complex_parameters  elapsed_time   \n",
       "0   {'complex_type': 'rips', 'max_dimension': 2, '...      4051.952  \\\n",
       "1   {'complex_type': 'rips', 'max_dimension': 2, '...      1793.627   \n",
       "2   {'complex_type': 'rips', 'max_dimension': 2, '...      8796.108   \n",
       "3   {'complex_type': 'rips', 'max_dimension': 2, '...      2523.064   \n",
       "4   {'complex_type': 'rips', 'max_dimension': 2, '...     11925.929   \n",
       "5   {'complex_type': 'rips', 'max_dimension': 2, '...     16397.743   \n",
       "6   {'complex_type': 'rips', 'max_dimension': 2, '...      2089.808   \n",
       "7   {'complex_type': 'rips', 'max_dimension': 2, '...      2592.378   \n",
       "8   {'complex_type': 'rips', 'max_dimension': 2, '...     12063.922   \n",
       "9   {'complex_type': 'rips', 'max_dimension': 2, '...      1321.127   \n",
       "10  {'complex_type': 'rips', 'max_dimension': 2, '...      1321.127   \n",
       "11  {'complex_type': 'rips', 'max_dimension': 2, '...      4477.655   \n",
       "12  {'complex_type': 'rips', 'max_dimension': 2, '...      5673.698   \n",
       "13  {'complex_type': 'rips', 'max_dimension': 2, '...     12063.922   \n",
       "14  {'complex_type': 'rips', 'max_dimension': 2, '...     16660.473   \n",
       "15  {'complex_type': 'rips', 'max_dimension': 2, '...      9166.072   \n",
       "16  {'complex_type': 'rips', 'max_dimension': 2, '...     17421.178   \n",
       "17  {'complex_type': 'rips', 'max_dimension': 2, '...     17421.178   \n",
       "18  {'complex_type': 'rips', 'max_dimension': 2, '...      7548.634   \n",
       "19  {'complex_type': 'rips', 'max_dimension': 2, '...      5125.736   \n",
       "20  {'complex_type': 'rips', 'max_dimension': 2, '...      3638.154   \n",
       "21  {'complex_type': 'rips', 'max_dimension': 2, '...      5455.381   \n",
       "22  {'complex_type': 'rips', 'max_dimension': 2, '...      1427.312   \n",
       "23  {'complex_type': 'rips', 'max_dimension': 2, '...      3027.101   \n",
       "24  {'complex_type': 'rips', 'max_dimension': 2, '...      3027.101   \n",
       "25  {'complex_type': 'rips', 'max_dimension': 2, '...     16641.602   \n",
       "26  {'complex_type': 'rips', 'max_dimension': 2, '...      2541.173   \n",
       "27  {'complex_type': 'rips', 'max_dimension': 2, '...      2160.666   \n",
       "28  {'complex_type': 'rips', 'max_dimension': 2, '...     16988.055   \n",
       "29  {'complex_type': 'rips', 'max_dimension': 2, '...      1995.277   \n",
       "30  {'complex_type': 'rips', 'max_dimension': 2, '...     13078.006   \n",
       "31  {'complex_type': 'rips', 'max_dimension': 2, '...      4572.085   \n",
       "32  {'complex_type': 'rips', 'max_dimension': 2, '...      4572.085   \n",
       "33  {'complex_type': 'rips', 'max_dimension': 2, '...      9077.914   \n",
       "34  {'complex_type': 'rips', 'max_dimension': 2, '...      1995.277   \n",
       "35  {'complex_type': 'rips', 'max_dimension': 2, '...      3979.767   \n",
       "36  {'complex_type': 'rips', 'max_dimension': 2, '...     12756.287   \n",
       "37  {'complex_type': 'rips', 'max_dimension': 2, '...     11195.007   \n",
       "38  {'complex_type': 'rips', 'max_dimension': 2, '...      1003.727   \n",
       "39  {'complex_type': 'rips', 'max_dimension': 2, '...      1781.989   \n",
       "40  {'complex_type': 'rips', 'max_dimension': 2, '...      3206.084   \n",
       "41  {'complex_type': 'rips', 'max_dimension': 2, '...     24636.766   \n",
       "42  {'complex_type': 'rips', 'max_dimension': 2, '...     16943.494   \n",
       "43  {'complex_type': 'rips', 'max_dimension': 2, '...     11646.228   \n",
       "44  {'complex_type': 'rips', 'max_dimension': 2, '...      9077.914   \n",
       "45  {'complex_type': 'rips', 'max_dimension': 2, '...      3032.289   \n",
       "46  {'complex_type': 'rips', 'max_dimension': 2, '...      9938.472   \n",
       "47  {'complex_type': 'rips', 'max_dimension': 2, '...     19816.396   \n",
       "48  {'complex_type': 'rips', 'max_dimension': 2, '...      6107.065   \n",
       "49  {'complex_type': 'rips', 'max_dimension': 2, '...      8223.067   \n",
       "50  {'complex_type': 'rips', 'max_dimension': 2, '...      1773.281   \n",
       "51  {'complex_type': 'rips', 'max_dimension': 2, '...     15794.165   \n",
       "52  {'complex_type': 'rips', 'max_dimension': 2, '...      2216.549   \n",
       "53  {'complex_type': 'rips', 'max_dimension': 2, '...      2914.020   \n",
       "54  {'complex_type': 'rips', 'max_dimension': 2, '...      4046.006   \n",
       "55  {'complex_type': 'rips', 'max_dimension': 2, '...      9719.034   \n",
       "56  {'complex_type': 'rips', 'max_dimension': 2, '...     12166.129   \n",
       "57  {'complex_type': 'rips', 'max_dimension': 2, '...     21874.915   \n",
       "58  {'complex_type': 'rips', 'max_dimension': 2, '...      1473.155   \n",
       "59  {'complex_type': 'rips', 'max_dimension': 2, '...      7384.840   \n",
       "60  {'complex_type': 'rips', 'max_dimension': 2, '...      1700.767   \n",
       "61  {'complex_type': 'rips', 'max_dimension': 2, '...      6010.080   \n",
       "62  {'complex_type': 'rips', 'max_dimension': 2, '...      4449.586   \n",
       "63  {'complex_type': 'rips', 'max_dimension': 2, '...      4483.982   \n",
       "64  {'complex_type': 'rips', 'max_dimension': 2, '...      8043.883   \n",
       "65  {'complex_type': 'rips', 'max_dimension': 2, '...      2872.832   \n",
       "66  {'complex_type': 'rips', 'max_dimension': 2, '...     17993.646   \n",
       "67  {'complex_type': 'rips', 'max_dimension': 2, '...      6465.836   \n",
       "68  {'complex_type': 'rips', 'max_dimension': 2, '...      6465.836   \n",
       "69  {'complex_type': 'rips', 'max_dimension': 2, '...      5928.494   \n",
       "70  {'complex_type': 'rips', 'max_dimension': 2, '...      1463.312   \n",
       "71  {'complex_type': 'rips', 'max_dimension': 2, '...      2048.320   \n",
       "72  {'complex_type': 'rips', 'max_dimension': 2, '...       955.155   \n",
       "73  {'complex_type': 'rips', 'max_dimension': 2, '...      3153.261   \n",
       "74  {'complex_type': 'rips', 'max_dimension': 2, '...       955.155   \n",
       "75  {'complex_type': 'rips', 'max_dimension': 2, '...     10286.573   \n",
       "76  {'complex_type': 'rips', 'max_dimension': 2, '...      2293.329   \n",
       "77  {'complex_type': 'rips', 'max_dimension': 2, '...     12164.555   \n",
       "78  {'complex_type': 'rips', 'max_dimension': 2, '...      6566.259   \n",
       "79  {'complex_type': 'rips', 'max_dimension': 2, '...     12541.017   \n",
       "80  {'complex_type': 'rips', 'max_dimension': 2, '...      7179.970   \n",
       "81  {'complex_type': 'rips', 'max_dimension': 2, '...      3753.498   \n",
       "82  {'complex_type': 'rips', 'max_dimension': 2, '...      1354.073   \n",
       "83  {'complex_type': 'rips', 'max_dimension': 2, '...     17199.399   \n",
       "84  {'complex_type': 'rips', 'max_dimension': 2, '...      5643.181   \n",
       "85  {'complex_type': 'rips', 'max_dimension': 2, '...      1725.006   \n",
       "86  {'complex_type': 'rips', 'max_dimension': 2, '...      3112.715   \n",
       "87  {'complex_type': 'rips', 'max_dimension': 2, '...      1984.033   \n",
       "88  {'complex_type': 'rips', 'max_dimension': 2, '...      7715.018   \n",
       "89  {'complex_type': 'rips', 'max_dimension': 2, '...       760.475   \n",
       "\n",
       "    time for diagram computation  time for pipeline creation   \n",
       "0                       3203.224                       0.000  \\\n",
       "1                        955.274                       0.000   \n",
       "2                       7687.874                       0.000   \n",
       "3                       1634.997                       0.000   \n",
       "4                      11036.550                       0.000   \n",
       "5                      15570.073                       0.001   \n",
       "6                       1242.662                       0.000   \n",
       "7                       1758.003                       0.000   \n",
       "8                      11213.172                       0.000   \n",
       "9                        461.825                       0.000   \n",
       "10                       461.825                       0.000   \n",
       "11                      3634.068                       0.000   \n",
       "12                      4836.218                       0.000   \n",
       "13                     11213.172                       0.000   \n",
       "14                     15773.462                       0.000   \n",
       "15                      8312.038                       0.000   \n",
       "16                     16564.252                       0.000   \n",
       "17                     16564.252                       0.000   \n",
       "18                      6665.669                       0.000   \n",
       "19                      4240.977                       0.000   \n",
       "20                      2753.162                       0.000   \n",
       "21                      4621.202                       0.000   \n",
       "22                       537.414                       0.000   \n",
       "23                      2168.124                       0.000   \n",
       "24                      2168.124                       0.000   \n",
       "25                     15537.435                       0.001   \n",
       "26                      1601.076                       0.000   \n",
       "27                      1565.715                       0.000   \n",
       "28                     16160.408                       0.000   \n",
       "29                      1138.300                       0.000   \n",
       "30                     12252.209                       0.000   \n",
       "31                      3712.719                       0.000   \n",
       "32                      3712.719                       0.000   \n",
       "33                      8218.980                       0.000   \n",
       "34                      1138.300                       0.000   \n",
       "35                      3088.396                       0.000   \n",
       "36                     11860.511                       0.000   \n",
       "37                     10577.613                       0.000   \n",
       "38                       411.499                       0.000   \n",
       "39                       899.623                       0.000   \n",
       "40                      2314.892                       0.000   \n",
       "41                     23579.449                       0.000   \n",
       "42                     15873.332                       0.001   \n",
       "43                     10806.183                       0.000   \n",
       "44                      8218.980                       0.000   \n",
       "45                      2138.119                       0.000   \n",
       "46                      9040.696                       0.001   \n",
       "47                     18965.231                       0.000   \n",
       "48                      5215.944                       0.000   \n",
       "49                      7333.390                       0.000   \n",
       "50                       773.998                       0.000   \n",
       "51                     14954.651                       0.000   \n",
       "52                      1327.975                       0.000   \n",
       "53                      2063.633                       0.000   \n",
       "54                      3199.697                       0.000   \n",
       "55                      8886.360                       0.000   \n",
       "56                     11320.146                       0.000   \n",
       "57                     20767.816                       0.001   \n",
       "58                       357.347                       0.000   \n",
       "59                      6547.318                       0.000   \n",
       "60                       809.689                       0.000   \n",
       "61                      5416.182                       0.000   \n",
       "62                      3856.154                       0.000   \n",
       "63                      3373.861                       0.000   \n",
       "64                      7428.039                       0.000   \n",
       "65                      1760.844                       0.000   \n",
       "66                     17151.378                       0.000   \n",
       "67                      5605.682                       0.000   \n",
       "68                      5605.682                       0.000   \n",
       "69                      5083.820                       0.000   \n",
       "70                       869.410                       0.000   \n",
       "71                       943.959                       0.000   \n",
       "72                        95.727                       0.000   \n",
       "73                      2560.567                       0.000   \n",
       "74                        95.727                       0.000   \n",
       "75                      9459.702                       0.000   \n",
       "76                      1305.431                       0.000   \n",
       "77                     11057.429                       0.000   \n",
       "78                      5455.177                       0.000   \n",
       "79                     11715.484                       0.000   \n",
       "80                      6352.938                       0.000   \n",
       "81                      2923.597                       0.000   \n",
       "82                       515.454                       0.000   \n",
       "83                     16301.753                       0.000   \n",
       "84                      4764.589                       0.000   \n",
       "85                       833.432                       0.000   \n",
       "86                      2271.038                       0.001   \n",
       "87                      1032.990                       0.000   \n",
       "88                      6820.864                       0.000   \n",
       "89                       163.312                       0.000   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                     849             inf  \\\n",
       "1                                     838             inf   \n",
       "2                                    1108             inf   \n",
       "3                                     888             inf   \n",
       "4                                     889             inf   \n",
       "5                                     828             inf   \n",
       "6                                     847             inf   \n",
       "7                                     834             inf   \n",
       "8                                     851             inf   \n",
       "9                                     859             inf   \n",
       "10                                    859             inf   \n",
       "11                                    844             inf   \n",
       "12                                    837             inf   \n",
       "13                                    851             inf   \n",
       "14                                    887             inf   \n",
       "15                                    854             inf   \n",
       "16                                    857             inf   \n",
       "17                                    857             inf   \n",
       "18                                    883             inf   \n",
       "19                                    885             inf   \n",
       "20                                    885             inf   \n",
       "21                                    834             inf   \n",
       "22                                    890             inf   \n",
       "23                                    859             inf   \n",
       "24                                    859             inf   \n",
       "25                                   1104             inf   \n",
       "26                                    940             inf   \n",
       "27                                    595             inf   \n",
       "28                                    828             inf   \n",
       "29                                    857             inf   \n",
       "30                                    826             inf   \n",
       "31                                    859             inf   \n",
       "32                                    859             inf   \n",
       "33                                    859             inf   \n",
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       "86                                    842             inf   \n",
       "87                                    951             inf   \n",
       "88                                    894             inf   \n",
       "89                                    597             inf   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                              inf                           0.0  \\\n",
       "1                              inf                           0.0   \n",
       "2                              inf                           0.0   \n",
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       "56                             inf                           0.0   \n",
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       "61                             inf                           0.0   \n",
       "62                             inf                           0.0   \n",
       "63                             inf                           0.0   \n",
       "64                             inf                           0.0   \n",
       "65                             inf                           0.0   \n",
       "66                             inf                           0.0   \n",
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       "68                             inf                           0.0   \n",
       "69                             inf                           0.0   \n",
       "70                             inf                           0.0   \n",
       "71                             inf                           0.0   \n",
       "72                             inf                           0.0   \n",
       "73                             inf                           0.0   \n",
       "74                             inf                           0.0   \n",
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       "76                             inf                           0.0   \n",
       "77                             inf                           0.0   \n",
       "78                             inf                           0.0   \n",
       "79                             inf                           0.0   \n",
       "80                             inf                           0.0   \n",
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       "84                             inf                           0.0   \n",
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       "86                             inf                           0.0   \n",
       "87                             inf                           0.0   \n",
       "88                             inf                           0.0   \n",
       "89                             inf                           0.0   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                         0       0.714286  \\\n",
       "1                                         0       0.714286   \n",
       "2                                         0       0.666667   \n",
       "3                                         0       0.666667   \n",
       "4                                       268       0.666667   \n",
       "5                                         0       0.666667   \n",
       "6                                         0       0.619048   \n",
       "7                                         0       0.619048   \n",
       "8                                         1       0.619048   \n",
       "9                                         0       0.619048   \n",
       "10                                        0       0.619048   \n",
       "11                                        0       0.619048   \n",
       "12                                        0       0.619048   \n",
       "13                                        1       0.619048   \n",
       "14                                        0       0.619048   \n",
       "15                                        0       0.571429   \n",
       "16                                        0       0.571429   \n",
       "17                                        0       0.571429   \n",
       "18                                        0       0.571429   \n",
       "19                                        0       0.571429   \n",
       "20                                        0       0.571429   \n",
       "21                                        0       0.571429   \n",
       "22                                        2       0.571429   \n",
       "23                                        0       0.523810   \n",
       "24                                        0       0.523810   \n",
       "25                                        0       0.523810   \n",
       "26                                     4803       0.523810   \n",
       "27                                        0       0.523810   \n",
       "28                                        0       0.523810   \n",
       "29                                        0       0.523810   \n",
       "30                                        1       0.523810   \n",
       "31                                        0       0.523810   \n",
       "32                                        0       0.523810   \n",
       "33                                        0       0.523810   \n",
       "34                                        0       0.523810   \n",
       "35                                        0       0.523810   \n",
       "36                                        0       0.523810   \n",
       "37                                        0       0.523810   \n",
       "38                                        0       0.523810   \n",
       "39                                        0       0.523810   \n",
       "40                                      329       0.523810   \n",
       "41                                        0       0.523810   \n",
       "42                                        0       0.523810   \n",
       "43                                        1       0.523810   \n",
       "44                                        0       0.523810   \n",
       "45                                        0       0.476190   \n",
       "46                                        0       0.476190   \n",
       "47                                        0       0.476190   \n",
       "48                                        0       0.476190   \n",
       "49                                        0       0.476190   \n",
       "50                                        2       0.476190   \n",
       "51                                        0       0.476190   \n",
       "52                                        0       0.476190   \n",
       "53                                        0       0.476190   \n",
       "54                                        0       0.476190   \n",
       "55                                        0       0.476190   \n",
       "56                                        0       0.476190   \n",
       "57                                        0       0.476190   \n",
       "58                                        2       0.476190   \n",
       "59                                        0       0.476190   \n",
       "60                                        2       0.428571   \n",
       "61                                        0       0.428571   \n",
       "62                                        0       0.428571   \n",
       "63                                        0       0.428571   \n",
       "64                                        0       0.428571   \n",
       "65                                        0       0.428571   \n",
       "66                                        3       0.428571   \n",
       "67                                        0       0.428571   \n",
       "68                                        0       0.428571   \n",
       "69                                        0       0.428571   \n",
       "70                                        0       0.428571   \n",
       "71                                        0       0.428571   \n",
       "72                                        2       0.380952   \n",
       "73                                        0       0.380952   \n",
       "74                                        2       0.380952   \n",
       "75                                        0       0.380952   \n",
       "76                                        0       0.380952   \n",
       "77                                        0       0.380952   \n",
       "78                                        0       0.380952   \n",
       "79                                        0       0.380952   \n",
       "80                                        1       0.333333   \n",
       "81                                        0       0.333333   \n",
       "82                                        2       0.333333   \n",
       "83                                        0       0.333333   \n",
       "84                                        0       0.333333   \n",
       "85                                        2       0.333333   \n",
       "86                                        0       0.333333   \n",
       "87                                        2       0.333333   \n",
       "88                                        0       0.238095   \n",
       "89                                        2       0.190476   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "12  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "13  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "14  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "15  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "16  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "17  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "18  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "19  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "20  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "21  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "22  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "23  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "24  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "25  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "26  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "27  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "28  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "29  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "30  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "31  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "32  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "33  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "34  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "35  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "36  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "37  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "38  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "39  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "40  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "41  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "42  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "43  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "44  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "45  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "46  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "47  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "48  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "49  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "50  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "51  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "52  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "53  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "54  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "55  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "56  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "57  {'Estimator': RandomForestClassifier(), 'Estim...   RandomForestClassifier  \n",
       "58  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "59  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "60  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "61  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "62  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "63  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "64  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "65  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "66  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "67  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "68  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "69  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "70  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "71  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "72  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "73  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "74  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "75  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "76  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "77  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "78  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "79  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "80  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "81  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "82  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "83  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "84  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "85  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "86  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "87  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "88  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "89  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rips_test_1=pd.read_csv(\"results2rips_6245.csv\")\n",
    "df_rips_test_2=pd.read_csv(\"results2rips_625.csv\")\n",
    "df_rips_test_3=pd.read_csv(\"results2rips_62588.csv\")\n",
    "df_rips_test_4=pd.read_csv(\"results2rips_6255558.csv\")\n",
    "df_rips_test_5=pd.read_csv(\"results2rips_89846.csv\")\n",
    "df_rips_test_6=pd.read_csv(\"results2rips_336238.csv\")\n",
    "df_rips_test_7=pd.read_csv(\"results2rips_621238.csv\")\n",
    "df_rips_test_8=pd.read_csv(\"results2rips_7644338.csv\")\n",
    "df_rips_test_9=pd.read_csv(\"results2rips_99846.csv\")\n",
    "df_rips_test_10=pd.read_csv(\"results2rips_89846.csv\")\n",
    "df_rips_test_10=pd.read_csv(\"results2rips_336238.csv\")\n",
    "\n",
    "\n",
    "df_rips_test_pipeline1=pd.concat([df_rips_test_1,df_rips_test_2,df_rips_test_3,df_rips_test_4,df_rips_test_5,df_rips_test_6,df_rips_test_7,df_rips_test_8,df_rips_test_9,df_rips_test_10])\n",
    "df_rips_test_pipeline1=df_rips_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_rips_test_pipeline1 = df_rips_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_rips_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "\n",
    "\n",
    "df_rips_test_pipeline1 = pd.concat([df_complex, df_rips_test_pipeline1], axis=1)\n",
    "df_rips_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_rips_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Memory: inf\n",
      "Mean Time : 7117.8712444444445\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
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      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=200), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, n_estimators=200), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=5,\n",
      "                       n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=10), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=5,\n",
      "                       n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=10), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=4, min_samples_split=5,\n",
      "                       n_estimators=200), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n"
     ]
    }
   ],
   "source": [
    "print(\"Mean Memory:\",np.mean(df_rips_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\"Mean Time :\",np.mean(df_rips_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_rips_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Memory:  inf\n",
      "Mean Time:  6916.835533333334\n",
      "max_edge_length\n",
      "0.756757    2\n",
      "0.288394    2\n",
      "0.431968    1\n",
      "0.282771    1\n",
      "0.591743    1\n",
      "0.364614    1\n",
      "0.661717    1\n",
      "0.836042    1\n",
      "0.275171    1\n",
      "0.362385    1\n",
      "0.429650    1\n",
      "0.503620    1\n",
      "0.746055    1\n",
      "Name: count, dtype: int64\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[6, 6]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [6, 6]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, min_samples_split=5,\n",
      "                       n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(n_estimators=200), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10,\n",
      "                       n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "mask = df_rips_test_pipeline1['test_accuracy'] > 0.6\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_rips_test_pipeline1[mask]\n",
    "print(\"Mean Memory: \",np.mean(filtered_df[\"elapsed_memory\"]))\n",
    "print(\"Mean Time: \", np.mean(filtered_df[\"elapsed_time\"]))\n",
    "print(filtered_df[\"max_edge_length\"].value_counts())\n",
    "for e in filtered_df['best parameters for the complex']:\n",
    "    print(e)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.431968</td>\n",
       "      <td>4051.952</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.282771</td>\n",
       "      <td>1793.627</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.591743</td>\n",
       "      <td>8796.108</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.364614</td>\n",
       "      <td>2523.064</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.661717</td>\n",
       "      <td>11925.929</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.836042</td>\n",
       "      <td>16397.743</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.275171</td>\n",
       "      <td>2089.808</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.362385</td>\n",
       "      <td>2592.378</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>12063.922</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>1321.127</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.288394</td>\n",
       "      <td>1321.127</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.429650</td>\n",
       "      <td>4477.655</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.503620</td>\n",
       "      <td>5673.698</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.756757</td>\n",
       "      <td>12063.922</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>rips</td>\n",
       "      <td>0.746055</td>\n",
       "      <td>16660.473</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.619048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_edge_length  elapsed_time  elapsed_memory  test_accuracy\n",
       "0          rips         0.431968      4051.952             inf       0.714286\n",
       "1          rips         0.282771      1793.627             inf       0.714286\n",
       "2          rips         0.591743      8796.108             inf       0.666667\n",
       "3          rips         0.364614      2523.064             inf       0.666667\n",
       "4          rips         0.661717     11925.929             inf       0.666667\n",
       "5          rips         0.836042     16397.743             inf       0.666667\n",
       "6          rips         0.275171      2089.808             inf       0.619048\n",
       "7          rips         0.362385      2592.378             inf       0.619048\n",
       "8          rips         0.756757     12063.922             inf       0.619048\n",
       "9          rips         0.288394      1321.127             inf       0.619048\n",
       "10         rips         0.288394      1321.127             inf       0.619048\n",
       "11         rips         0.429650      4477.655             inf       0.619048\n",
       "12         rips         0.503620      5673.698             inf       0.619048\n",
       "13         rips         0.756757     12063.922             inf       0.619048\n",
       "14         rips         0.746055     16660.473             inf       0.619048"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask = df_rips_test_pipeline1['test_accuracy'] > 0.6\n",
    "columns_to_keep = ['complex_type', 'max_edge_length', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "df_rips_test_pipeline1_filtered = df_rips_test_pipeline1[columns_to_keep]\n",
    "\n",
    "# Apply the mask to the DataFrame\n",
    "filtered_df = df_rips_test_pipeline1_filtered[mask]\n",
    "filtered_df  \n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for Edge Collapse Rips Complex: \n",
    "* Best persistence representations: Persistence Image // Landscape\n",
    "* Best precision: exact\n",
    "* Mean of elapsed_time: 1156.59575\n",
    "* Mean of elapsed_memory: 69996.14 MB\n",
    "* Best test accuracy: 0.762\n",
    "* Best elapsed time for best acc:924.289 seconds\n",
    "* Best number of iterations: 3\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Forth Test : ORBIT5K"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* In our fourth test, we went back to using the original dataset called ORBIT5K. This dataset only has 5 different values for something called \"r\": 2.5, 3.5, 4, 4.1, and 4.3. We set a specific starting point for creating the dataset (seed 99846), and then we tried different numbers to shuffle the data for cross-validation. This helps us get different outcomes from the same dataset.\n",
    "\n",
    "* However, we encountered an issue with data cloud 54, shown below. This problem resulted in job terminations when attempting to compute the persistence for the Rips complexes. This termination occurred possibly due to the relatively big number of simplices, although I had allocated substantial memory within the cluster to handle this."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = Pipeline([(\"Separator\", gd.representations.DiagramSelector(limit=np.inf, point_type=\"finite\")),\n",
    "                    (\"Scaler\",    gd.representations.DiagramScaler(scalers=[([0,1], MinMaxScaler())])),\n",
    "                    (\"TDA\",       gd.representations.PersistenceImage()),\n",
    "                    (\"Estimator\", RandomForestClassifier())])\n",
    "\n",
    "    # Parameters of pipeline. This is the place where you specify the methods you want to use to hrrandle diagrams\n",
    "param =    [\n",
    "                                \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.Landscape()], \n",
    "                \"TDA__resolution\":     [100,200,300,400,500],\n",
    "                \"Estimator\":           [RandomForestClassifier()],\n",
    "                \"Estimator\": [RandomForestClassifier()],\n",
    "               \"Estimator__n_estimators\": [50, 100, 200],\n",
    "                \"Estimator__max_depth\": [None, 5, 10],\n",
    "                \"Estimator__min_samples_split\": [2, 5, 10],\n",
    "                \"Estimator__min_samples_leaf\": [1, 2, 4]},\n",
    "            \n",
    "                {\"Scaler__use\":         [True],\n",
    "                \"TDA\":                 [gd.representations.PersistenceImage()], \n",
    "                \"TDA__resolution\":     [ [5,5], [6,6],[50,50],[60,60] ],\n",
    "                \"TDA__bandwidth\":      [0.01, 0.1, 1.0, 10.0],\n",
    "                \"Estimator\":           [RandomForestClassifier()],\n",
    "                \"Estimator__n_estimators\": [50, 100, 200],\n",
    "                \"Estimator__max_depth\": [None, 5, 10],\n",
    "                \"Estimator__min_samples_split\": [2, 5, 10],\n",
    "                \"Estimator__min_samples_leaf\": [1, 2, 4]},\n",
    "            ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1514.306</td>\n",
       "      <td>2.390</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1512</td>\n",
       "      <td>22.375</td>\n",
       "      <td>1.457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1460.717</td>\n",
       "      <td>2.114</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1459</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1463.236</td>\n",
       "      <td>8.047</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1455</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1438.282</td>\n",
       "      <td>2.199</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1436</td>\n",
       "      <td>40.973</td>\n",
       "      <td>1.477</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1581.797</td>\n",
       "      <td>1.988</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1580</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1564.446</td>\n",
       "      <td>8.838</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1556</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1928.040</td>\n",
       "      <td>2.536</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1926</td>\n",
       "      <td>20.004</td>\n",
       "      <td>1.434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1902.315</td>\n",
       "      <td>2.669</td>\n",
       "      <td>0.001</td>\n",
       "      <td>1900</td>\n",
       "      <td>0.129</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1886.667</td>\n",
       "      <td>10.328</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1876</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'fast'}</td>\n",
       "      <td>1442.460</td>\n",
       "      <td>2.454</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1440</td>\n",
       "      <td>33.219</td>\n",
       "      <td>1.488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'safe'}</td>\n",
       "      <td>1542.368</td>\n",
       "      <td>2.203</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1540</td>\n",
       "      <td>1.133</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>{'complex_type': 'alpha', 'precision': 'exact'}</td>\n",
       "      <td>1485.145</td>\n",
       "      <td>7.886</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1477</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type precision                               complex_parameters   \n",
       "0         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}  \\\n",
       "1         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "2         alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "3         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "4         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "5         alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "6         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "7         alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "8         alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "9         alpha      fast   {'complex_type': 'alpha', 'precision': 'fast'}   \n",
       "10        alpha      safe   {'complex_type': 'alpha', 'precision': 'safe'}   \n",
       "11        alpha     exact  {'complex_type': 'alpha', 'precision': 'exact'}   \n",
       "\n",
       "    elapsed_time  time for diagram computation  time for pipeline creation   \n",
       "0       1514.306                         2.390                       0.000  \\\n",
       "1       1460.717                         2.114                       0.000   \n",
       "2       1463.236                         8.047                       0.000   \n",
       "3       1438.282                         2.199                       0.000   \n",
       "4       1581.797                         1.988                       0.000   \n",
       "5       1564.446                         8.838                       0.000   \n",
       "6       1928.040                         2.536                       0.000   \n",
       "7       1902.315                         2.669                       0.001   \n",
       "8       1886.667                        10.328                       0.000   \n",
       "9       1442.460                         2.454                       0.000   \n",
       "10      1542.368                         2.203                       0.000   \n",
       "11      1485.145                         7.886                       0.000   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                    1512          22.375  \\\n",
       "1                                    1459           1.438   \n",
       "2                                    1455           0.688   \n",
       "3                                    1436          40.973   \n",
       "4                                    1580           0.648   \n",
       "5                                    1556           0.625   \n",
       "6                                    1926          20.004   \n",
       "7                                    1900           0.129   \n",
       "8                                    1876           0.547   \n",
       "9                                    1440          33.219   \n",
       "10                                   1540           1.133   \n",
       "11                                   1477           1.055   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                            1.457                           0.0  \\\n",
       "1                            0.000                           0.0   \n",
       "2                            0.000                           0.0   \n",
       "3                            1.477                           0.0   \n",
       "4                            0.008                           0.0   \n",
       "5                            0.000                           0.0   \n",
       "6                            1.434                           0.0   \n",
       "7                            0.000                           0.0   \n",
       "8                            0.000                           0.0   \n",
       "9                            1.488                           0.0   \n",
       "10                           0.000                           0.0   \n",
       "11                           0.504                           0.0   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                        21       0.933333  \\\n",
       "1                                         1       0.933333   \n",
       "2                                         1       0.933333   \n",
       "3                                        39       0.733333   \n",
       "4                                         1       0.733333   \n",
       "5                                         1       0.733333   \n",
       "6                                        19       0.733333   \n",
       "7                                         0       0.733333   \n",
       "8                                         1       0.733333   \n",
       "9                                        32       0.666667   \n",
       "10                                        1       0.666667   \n",
       "11                                        1       0.666667   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_alpha_test_1=pd.read_csv(\"ResultsToColect_alpha_99846_4321.csv\")\n",
    "df_alpha_test_2=pd.read_csv(\"ResultsToColect_alpha_99846_55443.csv\")\n",
    "df_alpha_test_3=pd.read_csv(\"ResultsToColect_alpha_99846_33456.csv\")\n",
    "df_alpha_test_4=pd.read_csv(\"ResultsToColect_alpha_99846+1234.csv\")\n",
    "\n",
    "\n",
    "df_alpha_test_pipeline1=pd.concat([df_alpha_test_1,df_alpha_test_2,df_alpha_test_3,df_alpha_test_4])\n",
    "df_alpha_test_pipeline1=df_alpha_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_alpha_test_pipeline1 = df_alpha_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_alpha_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "df_alpha_test_pipeline1 = pd.concat([df_complex, df_alpha_test_pipeline1], axis=1)\n",
    "df_alpha_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_alpha_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Mean memory : 10.236166666666668\n",
      " Mean time : 1600.8149166666665\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=300), 'TDA__resolution': 300}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=300), 'TDA__resolution': 300}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=4, min_samples_split=5, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 4, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=300), 'TDA__resolution': 300}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=2, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(), 'TDA__resolution': 100}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(resolution=400), 'TDA__resolution': 400}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(resolution=400), 'TDA__resolution': 400}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(min_samples_leaf=2, min_samples_split=10), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 2, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': Landscape(resolution=400), 'TDA__resolution': 400}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=500), 'TDA__resolution': 500}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=500), 'TDA__resolution': 500}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_split=10, n_estimators=50), 'Estimator__max_depth': 10, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=500), 'TDA__resolution': 500}\n",
      "---------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "print(\" Mean memory :\",np.mean(df_alpha_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\" Mean time :\",np.mean(df_alpha_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "for e in df_alpha_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)\n",
    "    print(\"---------------------------------------------------------------------------------------------------------------\")\n",
    "    print(\"---------------------------------------------------------------------------------------------------------------\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>precision</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>1514.306</td>\n",
       "      <td>22.375</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1460.717</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>1463.236</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>1438.282</td>\n",
       "      <td>40.973</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1581.797</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>1564.446</td>\n",
       "      <td>0.625</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>1928.040</td>\n",
       "      <td>20.004</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1902.315</td>\n",
       "      <td>0.129</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>1886.667</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>alpha</td>\n",
       "      <td>fast</td>\n",
       "      <td>1442.460</td>\n",
       "      <td>33.219</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>alpha</td>\n",
       "      <td>safe</td>\n",
       "      <td>1542.368</td>\n",
       "      <td>1.133</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>alpha</td>\n",
       "      <td>exact</td>\n",
       "      <td>1485.145</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type precision  elapsed_time  elapsed_memory  test_accuracy\n",
       "0         alpha      fast      1514.306          22.375       0.933333\n",
       "1         alpha      safe      1460.717           1.438       0.933333\n",
       "2         alpha     exact      1463.236           0.688       0.933333\n",
       "3         alpha      fast      1438.282          40.973       0.733333\n",
       "4         alpha      safe      1581.797           0.648       0.733333\n",
       "5         alpha     exact      1564.446           0.625       0.733333\n",
       "6         alpha      fast      1928.040          20.004       0.733333\n",
       "7         alpha      safe      1902.315           0.129       0.733333\n",
       "8         alpha     exact      1886.667           0.547       0.733333\n",
       "9         alpha      fast      1442.460          33.219       0.666667\n",
       "10        alpha      safe      1542.368           1.133       0.666667\n",
       "11        alpha     exact      1485.145           1.055       0.666667"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns_to_keep = ['complex_type', 'precision', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "\n",
    "# Keep only the specified columns\n",
    "df_alpha_test_pipeline1_filtered = df_alpha_test_pipeline1[columns_to_keep]\n",
    "df_alpha_test_pipeline1_filtered"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for alpha: \n",
    "\n",
    "* Best persistence representations: Landscape\n",
    "* Best precision: exact\n",
    "* Mean of elapsed_time: 1600.81 s\n",
    "* Mean of elapsed_memory: 10.236 MB\n",
    "* Best test accuracy: 0.933333\n",
    "* Best elapsed time for best acc: 1463.236 seconds\n",
    "* Best elapsed memory for best acc: 0.688 MB\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edge Collapse Rips Complex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>sparse</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>complex_parameters</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>time for diagram computation</th>\n",
       "      <th>time for pipeline creation</th>\n",
       "      <th>time for pipeline fitting and testing</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>memory for diagram computation</th>\n",
       "      <th>memory for pipeline creation</th>\n",
       "      <th>memory for pipeline fitting and testing</th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>best parameters for the complex</th>\n",
       "      <th>Estimator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1879.477</td>\n",
       "      <td>922.910</td>\n",
       "      <td>0.000</td>\n",
       "      <td>957</td>\n",
       "      <td>284444.285</td>\n",
       "      <td>284443.984</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1846.793</td>\n",
       "      <td>891.041</td>\n",
       "      <td>0.000</td>\n",
       "      <td>956</td>\n",
       "      <td>284443.367</td>\n",
       "      <td>284443.367</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1705.312</td>\n",
       "      <td>728.775</td>\n",
       "      <td>0.000</td>\n",
       "      <td>977</td>\n",
       "      <td>213536.207</td>\n",
       "      <td>213536.207</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1156.502</td>\n",
       "      <td>120.037</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1036</td>\n",
       "      <td>16440.453</td>\n",
       "      <td>16284.855</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1148.738</td>\n",
       "      <td>128.389</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1020</td>\n",
       "      <td>27972.941</td>\n",
       "      <td>27972.434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1252.184</td>\n",
       "      <td>207.771</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1044</td>\n",
       "      <td>48770.578</td>\n",
       "      <td>48770.578</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1220.796</td>\n",
       "      <td>209.565</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1011</td>\n",
       "      <td>48799.859</td>\n",
       "      <td>48799.859</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1332.920</td>\n",
       "      <td>315.038</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1018</td>\n",
       "      <td>76719.961</td>\n",
       "      <td>76719.961</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1317.296</td>\n",
       "      <td>311.287</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1006</td>\n",
       "      <td>76710.656</td>\n",
       "      <td>76710.656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1442.397</td>\n",
       "      <td>430.711</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1012</td>\n",
       "      <td>112527.102</td>\n",
       "      <td>112527.102</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1456.361</td>\n",
       "      <td>432.683</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1024</td>\n",
       "      <td>112523.070</td>\n",
       "      <td>112523.070</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1604.067</td>\n",
       "      <td>586.613</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1017</td>\n",
       "      <td>157399.133</td>\n",
       "      <td>157399.133</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1598.315</td>\n",
       "      <td>587.863</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1010</td>\n",
       "      <td>157398.809</td>\n",
       "      <td>157398.809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1696.967</td>\n",
       "      <td>730.012</td>\n",
       "      <td>0.000</td>\n",
       "      <td>967</td>\n",
       "      <td>213507.332</td>\n",
       "      <td>213507.332</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.933333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1700.950</td>\n",
       "      <td>813.947</td>\n",
       "      <td>0.000</td>\n",
       "      <td>887</td>\n",
       "      <td>284425.875</td>\n",
       "      <td>284425.531</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1677.418</td>\n",
       "      <td>816.227</td>\n",
       "      <td>0.000</td>\n",
       "      <td>861</td>\n",
       "      <td>284424.754</td>\n",
       "      <td>284424.754</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1139.705</td>\n",
       "      <td>274.310</td>\n",
       "      <td>0.000</td>\n",
       "      <td>865</td>\n",
       "      <td>76707.918</td>\n",
       "      <td>76707.918</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1513.241</td>\n",
       "      <td>653.698</td>\n",
       "      <td>0.000</td>\n",
       "      <td>860</td>\n",
       "      <td>213539.738</td>\n",
       "      <td>213539.738</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1368.121</td>\n",
       "      <td>509.042</td>\n",
       "      <td>0.000</td>\n",
       "      <td>859</td>\n",
       "      <td>157367.047</td>\n",
       "      <td>157367.047</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1368.273</td>\n",
       "      <td>508.019</td>\n",
       "      <td>0.000</td>\n",
       "      <td>860</td>\n",
       "      <td>157376.246</td>\n",
       "      <td>157376.246</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1242.539</td>\n",
       "      <td>382.458</td>\n",
       "      <td>0.000</td>\n",
       "      <td>860</td>\n",
       "      <td>112505.082</td>\n",
       "      <td>112505.082</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1245.386</td>\n",
       "      <td>384.222</td>\n",
       "      <td>0.000</td>\n",
       "      <td>861</td>\n",
       "      <td>112511.141</td>\n",
       "      <td>112511.141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1137.158</td>\n",
       "      <td>274.298</td>\n",
       "      <td>0.000</td>\n",
       "      <td>863</td>\n",
       "      <td>76709.258</td>\n",
       "      <td>76709.258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1513.992</td>\n",
       "      <td>653.421</td>\n",
       "      <td>0.000</td>\n",
       "      <td>861</td>\n",
       "      <td>213540.816</td>\n",
       "      <td>213540.816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1049.632</td>\n",
       "      <td>183.799</td>\n",
       "      <td>0.000</td>\n",
       "      <td>866</td>\n",
       "      <td>48802.531</td>\n",
       "      <td>48802.531</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1048.773</td>\n",
       "      <td>183.952</td>\n",
       "      <td>0.000</td>\n",
       "      <td>865</td>\n",
       "      <td>48791.250</td>\n",
       "      <td>48791.250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>979.162</td>\n",
       "      <td>111.916</td>\n",
       "      <td>0.000</td>\n",
       "      <td>867</td>\n",
       "      <td>27956.449</td>\n",
       "      <td>27956.449</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>978.896</td>\n",
       "      <td>111.529</td>\n",
       "      <td>0.000</td>\n",
       "      <td>867</td>\n",
       "      <td>27946.914</td>\n",
       "      <td>27946.914</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.866667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1093.320</td>\n",
       "      <td>65.396</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1028</td>\n",
       "      <td>9307.074</td>\n",
       "      <td>9307.074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1841.924</td>\n",
       "      <td>966.544</td>\n",
       "      <td>0.000</td>\n",
       "      <td>875</td>\n",
       "      <td>284425.363</td>\n",
       "      <td>284425.281</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1854.050</td>\n",
       "      <td>776.976</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1077</td>\n",
       "      <td>213543.496</td>\n",
       "      <td>213543.496</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1095.718</td>\n",
       "      <td>62.674</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1033</td>\n",
       "      <td>5373.363</td>\n",
       "      <td>5373.363</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(min_sampl...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>2015.368</td>\n",
       "      <td>1002.379</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1013</td>\n",
       "      <td>284435.371</td>\n",
       "      <td>284435.371</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1346.741</td>\n",
       "      <td>351.460</td>\n",
       "      <td>0.000</td>\n",
       "      <td>995</td>\n",
       "      <td>76708.547</td>\n",
       "      <td>76708.547</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1828.591</td>\n",
       "      <td>826.393</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1002</td>\n",
       "      <td>213529.898</td>\n",
       "      <td>213529.898</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1248.082</td>\n",
       "      <td>224.197</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1024</td>\n",
       "      <td>48763.469</td>\n",
       "      <td>48763.469</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1422.555</td>\n",
       "      <td>81.300</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1341</td>\n",
       "      <td>13629.602</td>\n",
       "      <td>13629.602</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>935.088</td>\n",
       "      <td>65.380</td>\n",
       "      <td>0.000</td>\n",
       "      <td>870</td>\n",
       "      <td>13614.461</td>\n",
       "      <td>13592.738</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(n_estimat...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1093.628</td>\n",
       "      <td>68.343</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1025</td>\n",
       "      <td>13605.922</td>\n",
       "      <td>13605.922</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.282675</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1090.396</td>\n",
       "      <td>66.167</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1024</td>\n",
       "      <td>13598.293</td>\n",
       "      <td>13598.293</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1164.293</td>\n",
       "      <td>141.328</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1023</td>\n",
       "      <td>27960.988</td>\n",
       "      <td>27960.941</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1155.123</td>\n",
       "      <td>139.499</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1016</td>\n",
       "      <td>27967.285</td>\n",
       "      <td>27967.285</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1588.794</td>\n",
       "      <td>589.500</td>\n",
       "      <td>0.000</td>\n",
       "      <td>999</td>\n",
       "      <td>157384.141</td>\n",
       "      <td>157384.141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1234.802</td>\n",
       "      <td>219.104</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1016</td>\n",
       "      <td>48795.812</td>\n",
       "      <td>48795.812</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1335.289</td>\n",
       "      <td>328.574</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1007</td>\n",
       "      <td>76713.848</td>\n",
       "      <td>76713.848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1464.263</td>\n",
       "      <td>459.490</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1005</td>\n",
       "      <td>112500.973</td>\n",
       "      <td>112500.973</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1478.808</td>\n",
       "      <td>455.767</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1023</td>\n",
       "      <td>112501.836</td>\n",
       "      <td>112501.836</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1647.202</td>\n",
       "      <td>624.940</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1022</td>\n",
       "      <td>157379.762</td>\n",
       "      <td>157379.762</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1074.061</td>\n",
       "      <td>30.294</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1044</td>\n",
       "      <td>5320.398</td>\n",
       "      <td>5318.395</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1070.345</td>\n",
       "      <td>29.847</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1040</td>\n",
       "      <td>7229.652</td>\n",
       "      <td>7223.062</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1052.665</td>\n",
       "      <td>29.696</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1023</td>\n",
       "      <td>5317.848</td>\n",
       "      <td>5317.848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1065.944</td>\n",
       "      <td>31.508</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1034</td>\n",
       "      <td>7238.176</td>\n",
       "      <td>7231.598</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>3</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1411.947</td>\n",
       "      <td>36.814</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1375</td>\n",
       "      <td>5320.277</td>\n",
       "      <td>5320.277</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>edge</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>0.188982</td>\n",
       "      <td>2</td>\n",
       "      <td>{'complex_type': 'edge', 'max_dimension': 2, '...</td>\n",
       "      <td>1402.169</td>\n",
       "      <td>37.690</td>\n",
       "      <td>0.001</td>\n",
       "      <td>1364</td>\n",
       "      <td>7232.641</td>\n",
       "      <td>7230.051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>{'Estimator': RandomForestClassifier(max_depth...</td>\n",
       "      <td>RandomForestClassifier</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_dimension sparse  max_edge_length  nb_iterations   \n",
       "0          edge              2   None         0.850051              3  \\\n",
       "1          edge              2   None         0.850051              2   \n",
       "2          edge              2   None         0.744064              3   \n",
       "3          edge              2   None         0.362841              2   \n",
       "4          edge              2   None         0.362841              3   \n",
       "5          edge              2   None         0.438022              2   \n",
       "6          edge              2   None         0.438022              3   \n",
       "7          edge              2   None         0.510989              2   \n",
       "8          edge              2   None         0.510989              3   \n",
       "9          edge              2   None         0.583966              2   \n",
       "10         edge              2   None         0.583966              3   \n",
       "11         edge              2   None         0.659737              2   \n",
       "12         edge              2   None         0.659737              3   \n",
       "13         edge              2   None         0.744064              2   \n",
       "14         edge              2   None         0.850051              3   \n",
       "15         edge              2   None         0.850051              2   \n",
       "16         edge              2   None         0.510989              2   \n",
       "17         edge              2   None         0.744064              2   \n",
       "18         edge              2   None         0.659737              3   \n",
       "19         edge              2   None         0.659737              2   \n",
       "20         edge              2   None         0.583966              3   \n",
       "21         edge              2   None         0.583966              2   \n",
       "22         edge              2   None         0.510989              3   \n",
       "23         edge              2   None         0.744064              3   \n",
       "24         edge              2   None         0.438022              3   \n",
       "25         edge              2   None         0.438022              2   \n",
       "26         edge              2   None         0.362841              3   \n",
       "27         edge              2   None         0.362841              2   \n",
       "28         edge              2   None         0.282675              2   \n",
       "29         edge              2   None         0.850051              3   \n",
       "30         edge              2   None         0.744064              3   \n",
       "31         edge              2   None         0.282675              3   \n",
       "32         edge              2   None         0.850051              2   \n",
       "33         edge              2   None         0.510989              3   \n",
       "34         edge              2   None         0.744064              2   \n",
       "35         edge              2   None         0.438022              3   \n",
       "36         edge              2   None         0.282675              2   \n",
       "37         edge              2   None         0.282675              3   \n",
       "38         edge              2   None         0.282675              2   \n",
       "39         edge              2   None         0.282675              3   \n",
       "40         edge              2   None         0.362841              2   \n",
       "41         edge              2   None         0.362841              3   \n",
       "42         edge              2   None         0.659737              3   \n",
       "43         edge              2   None         0.438022              2   \n",
       "44         edge              2   None         0.510989              2   \n",
       "45         edge              2   None         0.583966              2   \n",
       "46         edge              2   None         0.583966              3   \n",
       "47         edge              2   None         0.659737              2   \n",
       "48         edge              2   None         0.188982              3   \n",
       "49         edge              2   None         0.188982              2   \n",
       "50         edge              2   None         0.188982              3   \n",
       "51         edge              2   None         0.188982              2   \n",
       "52         edge              2   None         0.188982              3   \n",
       "53         edge              2   None         0.188982              2   \n",
       "\n",
       "                                   complex_parameters  elapsed_time   \n",
       "0   {'complex_type': 'edge', 'max_dimension': 2, '...      1879.477  \\\n",
       "1   {'complex_type': 'edge', 'max_dimension': 2, '...      1846.793   \n",
       "2   {'complex_type': 'edge', 'max_dimension': 2, '...      1705.312   \n",
       "3   {'complex_type': 'edge', 'max_dimension': 2, '...      1156.502   \n",
       "4   {'complex_type': 'edge', 'max_dimension': 2, '...      1148.738   \n",
       "5   {'complex_type': 'edge', 'max_dimension': 2, '...      1252.184   \n",
       "6   {'complex_type': 'edge', 'max_dimension': 2, '...      1220.796   \n",
       "7   {'complex_type': 'edge', 'max_dimension': 2, '...      1332.920   \n",
       "8   {'complex_type': 'edge', 'max_dimension': 2, '...      1317.296   \n",
       "9   {'complex_type': 'edge', 'max_dimension': 2, '...      1442.397   \n",
       "10  {'complex_type': 'edge', 'max_dimension': 2, '...      1456.361   \n",
       "11  {'complex_type': 'edge', 'max_dimension': 2, '...      1604.067   \n",
       "12  {'complex_type': 'edge', 'max_dimension': 2, '...      1598.315   \n",
       "13  {'complex_type': 'edge', 'max_dimension': 2, '...      1696.967   \n",
       "14  {'complex_type': 'edge', 'max_dimension': 2, '...      1700.950   \n",
       "15  {'complex_type': 'edge', 'max_dimension': 2, '...      1677.418   \n",
       "16  {'complex_type': 'edge', 'max_dimension': 2, '...      1139.705   \n",
       "17  {'complex_type': 'edge', 'max_dimension': 2, '...      1513.241   \n",
       "18  {'complex_type': 'edge', 'max_dimension': 2, '...      1368.121   \n",
       "19  {'complex_type': 'edge', 'max_dimension': 2, '...      1368.273   \n",
       "20  {'complex_type': 'edge', 'max_dimension': 2, '...      1242.539   \n",
       "21  {'complex_type': 'edge', 'max_dimension': 2, '...      1245.386   \n",
       "22  {'complex_type': 'edge', 'max_dimension': 2, '...      1137.158   \n",
       "23  {'complex_type': 'edge', 'max_dimension': 2, '...      1513.992   \n",
       "24  {'complex_type': 'edge', 'max_dimension': 2, '...      1049.632   \n",
       "25  {'complex_type': 'edge', 'max_dimension': 2, '...      1048.773   \n",
       "26  {'complex_type': 'edge', 'max_dimension': 2, '...       979.162   \n",
       "27  {'complex_type': 'edge', 'max_dimension': 2, '...       978.896   \n",
       "28  {'complex_type': 'edge', 'max_dimension': 2, '...      1093.320   \n",
       "29  {'complex_type': 'edge', 'max_dimension': 2, '...      1841.924   \n",
       "30  {'complex_type': 'edge', 'max_dimension': 2, '...      1854.050   \n",
       "31  {'complex_type': 'edge', 'max_dimension': 2, '...      1095.718   \n",
       "32  {'complex_type': 'edge', 'max_dimension': 2, '...      2015.368   \n",
       "33  {'complex_type': 'edge', 'max_dimension': 2, '...      1346.741   \n",
       "34  {'complex_type': 'edge', 'max_dimension': 2, '...      1828.591   \n",
       "35  {'complex_type': 'edge', 'max_dimension': 2, '...      1248.082   \n",
       "36  {'complex_type': 'edge', 'max_dimension': 2, '...      1422.555   \n",
       "37  {'complex_type': 'edge', 'max_dimension': 2, '...       935.088   \n",
       "38  {'complex_type': 'edge', 'max_dimension': 2, '...      1093.628   \n",
       "39  {'complex_type': 'edge', 'max_dimension': 2, '...      1090.396   \n",
       "40  {'complex_type': 'edge', 'max_dimension': 2, '...      1164.293   \n",
       "41  {'complex_type': 'edge', 'max_dimension': 2, '...      1155.123   \n",
       "42  {'complex_type': 'edge', 'max_dimension': 2, '...      1588.794   \n",
       "43  {'complex_type': 'edge', 'max_dimension': 2, '...      1234.802   \n",
       "44  {'complex_type': 'edge', 'max_dimension': 2, '...      1335.289   \n",
       "45  {'complex_type': 'edge', 'max_dimension': 2, '...      1464.263   \n",
       "46  {'complex_type': 'edge', 'max_dimension': 2, '...      1478.808   \n",
       "47  {'complex_type': 'edge', 'max_dimension': 2, '...      1647.202   \n",
       "48  {'complex_type': 'edge', 'max_dimension': 2, '...      1074.061   \n",
       "49  {'complex_type': 'edge', 'max_dimension': 2, '...      1070.345   \n",
       "50  {'complex_type': 'edge', 'max_dimension': 2, '...      1052.665   \n",
       "51  {'complex_type': 'edge', 'max_dimension': 2, '...      1065.944   \n",
       "52  {'complex_type': 'edge', 'max_dimension': 2, '...      1411.947   \n",
       "53  {'complex_type': 'edge', 'max_dimension': 2, '...      1402.169   \n",
       "\n",
       "    time for diagram computation  time for pipeline creation   \n",
       "0                        922.910                       0.000  \\\n",
       "1                        891.041                       0.000   \n",
       "2                        728.775                       0.000   \n",
       "3                        120.037                       0.000   \n",
       "4                        128.389                       0.000   \n",
       "5                        207.771                       0.000   \n",
       "6                        209.565                       0.000   \n",
       "7                        315.038                       0.000   \n",
       "8                        311.287                       0.000   \n",
       "9                        430.711                       0.000   \n",
       "10                       432.683                       0.000   \n",
       "11                       586.613                       0.000   \n",
       "12                       587.863                       0.000   \n",
       "13                       730.012                       0.000   \n",
       "14                       813.947                       0.000   \n",
       "15                       816.227                       0.000   \n",
       "16                       274.310                       0.000   \n",
       "17                       653.698                       0.000   \n",
       "18                       509.042                       0.000   \n",
       "19                       508.019                       0.000   \n",
       "20                       382.458                       0.000   \n",
       "21                       384.222                       0.000   \n",
       "22                       274.298                       0.000   \n",
       "23                       653.421                       0.000   \n",
       "24                       183.799                       0.000   \n",
       "25                       183.952                       0.000   \n",
       "26                       111.916                       0.000   \n",
       "27                       111.529                       0.000   \n",
       "28                        65.396                       0.000   \n",
       "29                       966.544                       0.000   \n",
       "30                       776.976                       0.000   \n",
       "31                        62.674                       0.000   \n",
       "32                      1002.379                       0.000   \n",
       "33                       351.460                       0.000   \n",
       "34                       826.393                       0.000   \n",
       "35                       224.197                       0.000   \n",
       "36                        81.300                       0.000   \n",
       "37                        65.380                       0.000   \n",
       "38                        68.343                       0.000   \n",
       "39                        66.167                       0.000   \n",
       "40                       141.328                       0.000   \n",
       "41                       139.499                       0.000   \n",
       "42                       589.500                       0.000   \n",
       "43                       219.104                       0.000   \n",
       "44                       328.574                       0.000   \n",
       "45                       459.490                       0.000   \n",
       "46                       455.767                       0.000   \n",
       "47                       624.940                       0.000   \n",
       "48                        30.294                       0.000   \n",
       "49                        29.847                       0.000   \n",
       "50                        29.696                       0.000   \n",
       "51                        31.508                       0.000   \n",
       "52                        36.814                       0.000   \n",
       "53                        37.690                       0.001   \n",
       "\n",
       "    time for pipeline fitting and testing  elapsed_memory   \n",
       "0                                     957      284444.285  \\\n",
       "1                                     956      284443.367   \n",
       "2                                     977      213536.207   \n",
       "3                                    1036       16440.453   \n",
       "4                                    1020       27972.941   \n",
       "5                                    1044       48770.578   \n",
       "6                                    1011       48799.859   \n",
       "7                                    1018       76719.961   \n",
       "8                                    1006       76710.656   \n",
       "9                                    1012      112527.102   \n",
       "10                                   1024      112523.070   \n",
       "11                                   1017      157399.133   \n",
       "12                                   1010      157398.809   \n",
       "13                                    967      213507.332   \n",
       "14                                    887      284425.875   \n",
       "15                                    861      284424.754   \n",
       "16                                    865       76707.918   \n",
       "17                                    860      213539.738   \n",
       "18                                    859      157367.047   \n",
       "19                                    860      157376.246   \n",
       "20                                    860      112505.082   \n",
       "21                                    861      112511.141   \n",
       "22                                    863       76709.258   \n",
       "23                                    861      213540.816   \n",
       "24                                    866       48802.531   \n",
       "25                                    865       48791.250   \n",
       "26                                    867       27956.449   \n",
       "27                                    867       27946.914   \n",
       "28                                   1028        9307.074   \n",
       "29                                    875      284425.363   \n",
       "30                                   1077      213543.496   \n",
       "31                                   1033        5373.363   \n",
       "32                                   1013      284435.371   \n",
       "33                                    995       76708.547   \n",
       "34                                   1002      213529.898   \n",
       "35                                   1024       48763.469   \n",
       "36                                   1341       13629.602   \n",
       "37                                    870       13614.461   \n",
       "38                                   1025       13605.922   \n",
       "39                                   1024       13598.293   \n",
       "40                                   1023       27960.988   \n",
       "41                                   1016       27967.285   \n",
       "42                                    999      157384.141   \n",
       "43                                   1016       48795.812   \n",
       "44                                   1007       76713.848   \n",
       "45                                   1005      112500.973   \n",
       "46                                   1023      112501.836   \n",
       "47                                   1022      157379.762   \n",
       "48                                   1044        5320.398   \n",
       "49                                   1040        7229.652   \n",
       "50                                   1023        5317.848   \n",
       "51                                   1034        7238.176   \n",
       "52                                   1375        5320.277   \n",
       "53                                   1364        7232.641   \n",
       "\n",
       "    memory for diagram computation  memory for pipeline creation   \n",
       "0                       284443.984                           0.0  \\\n",
       "1                       284443.367                           0.0   \n",
       "2                       213536.207                           0.0   \n",
       "3                        16284.855                           0.0   \n",
       "4                        27972.434                           0.0   \n",
       "5                        48770.578                           0.0   \n",
       "6                        48799.859                           0.0   \n",
       "7                        76719.961                           0.0   \n",
       "8                        76710.656                           0.0   \n",
       "9                       112527.102                           0.0   \n",
       "10                      112523.070                           0.0   \n",
       "11                      157399.133                           0.0   \n",
       "12                      157398.809                           0.0   \n",
       "13                      213507.332                           0.0   \n",
       "14                      284425.531                           0.0   \n",
       "15                      284424.754                           0.0   \n",
       "16                       76707.918                           0.0   \n",
       "17                      213539.738                           0.0   \n",
       "18                      157367.047                           0.0   \n",
       "19                      157376.246                           0.0   \n",
       "20                      112505.082                           0.0   \n",
       "21                      112511.141                           0.0   \n",
       "22                       76709.258                           0.0   \n",
       "23                      213540.816                           0.0   \n",
       "24                       48802.531                           0.0   \n",
       "25                       48791.250                           0.0   \n",
       "26                       27956.449                           0.0   \n",
       "27                       27946.914                           0.0   \n",
       "28                        9307.074                           0.0   \n",
       "29                      284425.281                           0.0   \n",
       "30                      213543.496                           0.0   \n",
       "31                        5373.363                           0.0   \n",
       "32                      284435.371                           0.0   \n",
       "33                       76708.547                           0.0   \n",
       "34                      213529.898                           0.0   \n",
       "35                       48763.469                           0.0   \n",
       "36                       13629.602                           0.0   \n",
       "37                       13592.738                           0.0   \n",
       "38                       13605.922                           0.0   \n",
       "39                       13598.293                           0.0   \n",
       "40                       27960.941                           0.0   \n",
       "41                       27967.285                           0.0   \n",
       "42                      157384.141                           0.0   \n",
       "43                       48795.812                           0.0   \n",
       "44                       76713.848                           0.0   \n",
       "45                      112500.973                           0.0   \n",
       "46                      112501.836                           0.0   \n",
       "47                      157379.762                           0.0   \n",
       "48                        5318.395                           0.0   \n",
       "49                        7223.062                           0.0   \n",
       "50                        5317.848                           0.0   \n",
       "51                        7231.598                           0.0   \n",
       "52                        5320.277                           0.0   \n",
       "53                        7230.051                           0.0   \n",
       "\n",
       "    memory for pipeline fitting and testing  test_accuracy   \n",
       "0                                         0       0.933333  \\\n",
       "1                                         0       0.933333   \n",
       "2                                         0       0.933333   \n",
       "3                                       156       0.933333   \n",
       "4                                         1       0.933333   \n",
       "5                                         0       0.933333   \n",
       "6                                         0       0.933333   \n",
       "7                                         0       0.933333   \n",
       "8                                         0       0.933333   \n",
       "9                                         0       0.933333   \n",
       "10                                        0       0.933333   \n",
       "11                                        0       0.933333   \n",
       "12                                        0       0.933333   \n",
       "13                                        0       0.933333   \n",
       "14                                        0       0.866667   \n",
       "15                                        0       0.866667   \n",
       "16                                        0       0.866667   \n",
       "17                                        0       0.866667   \n",
       "18                                        0       0.866667   \n",
       "19                                        0       0.866667   \n",
       "20                                        0       0.866667   \n",
       "21                                        0       0.866667   \n",
       "22                                        0       0.866667   \n",
       "23                                        0       0.866667   \n",
       "24                                        0       0.866667   \n",
       "25                                        0       0.866667   \n",
       "26                                        0       0.866667   \n",
       "27                                        0       0.866667   \n",
       "28                                        0       0.800000   \n",
       "29                                        0       0.800000   \n",
       "30                                        0       0.800000   \n",
       "31                                        0       0.800000   \n",
       "32                                        0       0.800000   \n",
       "33                                        0       0.800000   \n",
       "34                                        0       0.800000   \n",
       "35                                        0       0.800000   \n",
       "36                                        0       0.800000   \n",
       "37                                       22       0.800000   \n",
       "38                                        0       0.800000   \n",
       "39                                        0       0.800000   \n",
       "40                                        0       0.800000   \n",
       "41                                        0       0.800000   \n",
       "42                                        0       0.800000   \n",
       "43                                        0       0.800000   \n",
       "44                                        0       0.800000   \n",
       "45                                        0       0.800000   \n",
       "46                                        0       0.800000   \n",
       "47                                        0       0.800000   \n",
       "48                                        2       0.666667   \n",
       "49                                        7       0.666667   \n",
       "50                                        0       0.600000   \n",
       "51                                        7       0.600000   \n",
       "52                                        0       0.533333   \n",
       "53                                        3       0.533333   \n",
       "\n",
       "                      best parameters for the complex                Estimator  \n",
       "0   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "1   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "2   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "3   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "4   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "5   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "6   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "7   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "8   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "9   {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "10  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "11  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "12  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "13  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "14  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "15  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "16  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "17  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "18  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "19  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "20  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "21  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "22  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "23  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "24  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "25  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "26  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "27  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "28  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "29  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "30  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "31  {'Estimator': RandomForestClassifier(min_sampl...   RandomForestClassifier  \n",
       "32  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "33  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "34  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "35  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "36  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "37  {'Estimator': RandomForestClassifier(n_estimat...   RandomForestClassifier  \n",
       "38  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "39  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "40  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "41  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "42  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "43  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "44  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "45  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "46  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "47  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "48  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "49  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "50  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "51  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "52  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  \n",
       "53  {'Estimator': RandomForestClassifier(max_depth...   RandomForestClassifier  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_edge_test_1=pd.read_csv(\"ResultsToColect_edge_99846+1234.csv\")\n",
    "df_edge_test_2=pd.read_csv(\"ResultsToColect_edge_99846_55443.csv\")\n",
    "df_edge_test_3=pd.read_csv(\"ResultsToColect_edge_99846_4321.csv\")\n",
    "df_edge_test_pipeline1=pd.concat([df_edge_test_1,df_edge_test_2,df_edge_test_3])\n",
    "df_edge_test_pipeline1=df_edge_test_pipeline1.sort_values(by=\"test_accuracy\",ascending=False)\n",
    "df_edge_test_pipeline1 = df_edge_test_pipeline1.reset_index(drop=True)\n",
    "                \n",
    "df_complex = pd.json_normalize(df_edge_test_pipeline1[\"complex_parameters\"].apply(ast.literal_eval))\n",
    "df_complex=df_complex.reset_index(drop=True)\n",
    "\n",
    "\n",
    "\n",
    "df_edge_test_pipeline1 = pd.concat([df_complex, df_edge_test_pipeline1], axis=1)\n",
    "df_edge_test_pipeline1['Estimator']=\" RandomForestClassifier\"\n",
    "df_edge_test_pipeline1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " MEAN MEMORY:  104133.28274074075\n",
      " MEAN TIME :  1363.5654999999997\n"
     ]
    }
   ],
   "source": [
    "print(\" MEAN MEMORY: \",np.mean(df_edge_test_pipeline1[\"elapsed_memory\"]))\n",
    "print(\" MEAN TIME : \",np.mean(df_edge_test_pipeline1[\"elapsed_time\"]))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
      "{'Estimator': RandomForestClassifier(min_samples_split=10, n_estimators=50), 'Estimator__max_depth': None, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 10, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': Landscape(resolution=200), 'TDA__resolution': 200}\n",
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      "{'Estimator': RandomForestClassifier(max_depth=10, min_samples_leaf=4, min_samples_split=5,\n",
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      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 100, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, n_estimators=50), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 2, 'Estimator__n_estimators': 50, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5, n_estimators=200), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n",
      "{'Estimator': RandomForestClassifier(max_depth=5, min_samples_split=5, n_estimators=200), 'Estimator__max_depth': 5, 'Estimator__min_samples_leaf': 1, 'Estimator__min_samples_split': 5, 'Estimator__n_estimators': 200, 'Scaler__use': True, 'TDA': PersistenceImage(bandwidth=0.1, resolution=[5, 5]), 'TDA__bandwidth': 0.1, 'TDA__resolution': [5, 5]}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "for e in df_edge_test_pipeline1['best parameters for the complex']:\n",
    "    print(e)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>complex_type</th>\n",
       "      <th>max_edge_length</th>\n",
       "      <th>max_dimension</th>\n",
       "      <th>nb_iterations</th>\n",
       "      <th>elapsed_time</th>\n",
       "      <th>elapsed_memory</th>\n",
       "      <th>test_accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
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       "      <th>1</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
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       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1705.312</td>\n",
       "      <td>213536.207</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <td>0.933333</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
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       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1252.184</td>\n",
       "      <td>48770.578</td>\n",
       "      <td>0.933333</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1220.796</td>\n",
       "      <td>48799.859</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1332.920</td>\n",
       "      <td>76719.961</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1317.296</td>\n",
       "      <td>76710.656</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1442.397</td>\n",
       "      <td>112527.102</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1456.361</td>\n",
       "      <td>112523.070</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1604.067</td>\n",
       "      <td>157399.133</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1598.315</td>\n",
       "      <td>157398.809</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1696.967</td>\n",
       "      <td>213507.332</td>\n",
       "      <td>0.933333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1700.950</td>\n",
       "      <td>284425.875</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.850051</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1677.418</td>\n",
       "      <td>284424.754</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1139.705</td>\n",
       "      <td>76707.918</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1513.241</td>\n",
       "      <td>213539.738</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1368.121</td>\n",
       "      <td>157367.047</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.659737</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1368.273</td>\n",
       "      <td>157376.246</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1242.539</td>\n",
       "      <td>112505.082</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.583966</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1245.386</td>\n",
       "      <td>112511.141</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.510989</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1137.158</td>\n",
       "      <td>76709.258</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.744064</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1513.992</td>\n",
       "      <td>213540.816</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1049.632</td>\n",
       "      <td>48802.531</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.438022</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1048.773</td>\n",
       "      <td>48791.250</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>979.162</td>\n",
       "      <td>27956.449</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>edge</td>\n",
       "      <td>0.362841</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>978.896</td>\n",
       "      <td>27946.914</td>\n",
       "      <td>0.866667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   complex_type  max_edge_length  max_dimension  nb_iterations  elapsed_time   \n",
       "0          edge         0.850051              2              3      1879.477  \\\n",
       "1          edge         0.850051              2              2      1846.793   \n",
       "2          edge         0.744064              2              3      1705.312   \n",
       "3          edge         0.362841              2              2      1156.502   \n",
       "4          edge         0.362841              2              3      1148.738   \n",
       "5          edge         0.438022              2              2      1252.184   \n",
       "6          edge         0.438022              2              3      1220.796   \n",
       "7          edge         0.510989              2              2      1332.920   \n",
       "8          edge         0.510989              2              3      1317.296   \n",
       "9          edge         0.583966              2              2      1442.397   \n",
       "10         edge         0.583966              2              3      1456.361   \n",
       "11         edge         0.659737              2              2      1604.067   \n",
       "12         edge         0.659737              2              3      1598.315   \n",
       "13         edge         0.744064              2              2      1696.967   \n",
       "14         edge         0.850051              2              3      1700.950   \n",
       "15         edge         0.850051              2              2      1677.418   \n",
       "16         edge         0.510989              2              2      1139.705   \n",
       "17         edge         0.744064              2              2      1513.241   \n",
       "18         edge         0.659737              2              3      1368.121   \n",
       "19         edge         0.659737              2              2      1368.273   \n",
       "20         edge         0.583966              2              3      1242.539   \n",
       "21         edge         0.583966              2              2      1245.386   \n",
       "22         edge         0.510989              2              3      1137.158   \n",
       "23         edge         0.744064              2              3      1513.992   \n",
       "24         edge         0.438022              2              3      1049.632   \n",
       "25         edge         0.438022              2              2      1048.773   \n",
       "26         edge         0.362841              2              3       979.162   \n",
       "27         edge         0.362841              2              2       978.896   \n",
       "\n",
       "    elapsed_memory  test_accuracy  \n",
       "0       284444.285       0.933333  \n",
       "1       284443.367       0.933333  \n",
       "2       213536.207       0.933333  \n",
       "3        16440.453       0.933333  \n",
       "4        27972.941       0.933333  \n",
       "5        48770.578       0.933333  \n",
       "6        48799.859       0.933333  \n",
       "7        76719.961       0.933333  \n",
       "8        76710.656       0.933333  \n",
       "9       112527.102       0.933333  \n",
       "10      112523.070       0.933333  \n",
       "11      157399.133       0.933333  \n",
       "12      157398.809       0.933333  \n",
       "13      213507.332       0.933333  \n",
       "14      284425.875       0.866667  \n",
       "15      284424.754       0.866667  \n",
       "16       76707.918       0.866667  \n",
       "17      213539.738       0.866667  \n",
       "18      157367.047       0.866667  \n",
       "19      157376.246       0.866667  \n",
       "20      112505.082       0.866667  \n",
       "21      112511.141       0.866667  \n",
       "22       76709.258       0.866667  \n",
       "23      213540.816       0.866667  \n",
       "24       48802.531       0.866667  \n",
       "25       48791.250       0.866667  \n",
       "26       27956.449       0.866667  \n",
       "27       27946.914       0.866667  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask = df_edge_test_pipeline1['test_accuracy'] > 0.86\n",
    "columns_to_keep = ['complex_type', 'max_edge_length','max_dimension','nb_iterations', 'elapsed_time', 'elapsed_memory', 'test_accuracy']\n",
    "\n",
    "df_edge_test_pipeline1_filtered = df_edge_test_pipeline1[columns_to_keep]\n",
    "filtered_df = df_edge_test_pipeline1_filtered[mask]\n",
    "filtered_df  \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(max_edge_length\n",
       " 0.850051    4\n",
       " 0.744064    4\n",
       " 0.362841    4\n",
       " 0.438022    4\n",
       " 0.510989    4\n",
       " 0.583966    4\n",
       " 0.659737    4\n",
       " Name: count, dtype: int64,\n",
       " nb_iterations\n",
       " 3    14\n",
       " 2    14\n",
       " Name: count, dtype: int64)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df['max_edge_length'].value_counts(), filtered_df['nb_iterations'].value_counts()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### results for Edge Collapse Rips Complex : \n",
    "* Best accuracy: 0.9333\n",
    "* elapsed time for best acc: 1148.738 seconds\t\n",
    "* elapsed memory for best acc: 27972.941 MB\n",
    "* Best persistence representations: Landscape\n",
    "* Best threshold: between 3th and 9th quantile\n",
    "* Mean of elapsed_time: 1363.565 S\n",
    "* Mean of elapsed_memory: 104133.29 MB\n",
    "* Best number of collapse: 2 and 3 \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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