Classification, Support Vector Machine, Roc Curve, Rbf Kernels.
print(X_train.shape) print(X_test.shape) Scale all the features between 0 and 1 for better performance of our classifier. from sklearn.preprocessing import MinMaxScaler scaler = MinMaxScaler() scaler.fit(X_train) #Scale the training data X_tr_scaled = scaler.transform(X_train) #Scale the test data