Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
SVM model with these parameter values and check for its performance with the test data. lsvcr_model =SVC(kernel='rbf', gamma=10.0, C=1.0, probability=True, random_state=21) lsvcr_model.fit(X_tr_scaled, y_train) #Predict the response for test dataset y_te_pr = lsvcr_model.predict(X_te_scaled) labels