Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
is 3 and the value of the penalty C = 1.0. We now fit the SVM model with parameter values and check for its performance with the test data. lsvc_model =SVC(kernel='poly', degree=3, C=1.0,probability=True,random_state=21) lsvc_model.fit(X_tr_scaled, y_train) #Predict the response for test dataset