PARKINSONS DISEASE DETECTION

#This project is about the detection of parkinsons disease using medical tests

#The Parkinsons.csv Data file for training the SVC and XGBoost models

#Parkinons Disease_Detection.ipynb - code file made using google colab 

SVC model gained an accuracy of 94.8% while XGBoost gained accuracy upto 92.3% with same training data

#code contains classification report of both models 

#A bar graph has been made to compare the results of both models prediction