การใช้ Pipeline

# Split your data X and y, into a training and a test set and fit the pipeline onto the training data
X_train, X_test, y_train, y_test = ____

# Fit your pipeline onto your training set and obtain predictions by fitting the model onto the test data 
pipeline.fit(____, ____) 
predicted = pipeline.____(____)

# Obtain the results from the classification report and confusion matrix 
print('Classifcation report:\n', classification_report(y_test, predicted))
conf_mat = confusion_matrix(y_true=y_test, y_pred=predicted)
print('Confusion matrix:\n', conf_mat)