metrics.txt

Modelo-TOPT ( Modelo con los dataset sin el  rango intercuartil (IQR))
Composicion del Data Frame (rows, columns): (6497, 13)
Comparacion-
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Accuracy Score of Train Model : 0.473-
Accuracy Score of Test  Model : 0.447



Comparacion
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Accuracy Score of Train Model : 0.799
Accuracy Score of Test  Model : 0.800
AutoML
Best pipeline: XGBClassifier
Accuracy Score : 0.885

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Modelo-TOPT ( Modelo con los dataset con el el rango intercuartil (IQR))
Composicion del Data Frame (rows, columns): (5037, 14)
Comparacion
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Accuracy in Train set   : 0.499
Accuracy in Test  set   : 0.476


Comparacion-
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Accuracy Score of Train Model : 0.797-
Accuracy Score of Test  Model : 0.768

AutoML
Best pipeline: RandomForestClassifier
Accuracy Score : 1.00