def forest_test(X, Y):
    X_Train, X_Test, Y_Train, Y_Test = train_test_split(X, Y,
                                                        test_size = 0.30,
                                                        random_state = 101)
    start = time.process_time()
    trainedforest = RandomForestClassifier(n_estimators=700).fit(X_Train,Y_Train)
    print(time.process_time() - start)
    predictionforest = trainedforest.predict(X_Test)
    print(confusion_matrix(Y_Test,predictionforest))
    print(classification_report(Y_Test,predictionforest))