X_Reduced, X_Test_Reduced, Y_Reduced, Y_Test_Reduced = train_test_split(X_lda, Y,
                                                                        test_size = 0.30,
                                                                        random_state = 101)

start = time.process_time()
lda = LinearDiscriminantAnalysis().fit(X_Reduced,Y_Reduced)
print(time.process_time() - start)
predictionlda = lda.predict(X_Test_Reduced)
print(confusion_matrix(Y_Test_Reduced,predictionlda))
print(classification_report(Y_Test_Reduced,predictionlda))