# Import confusion matrix
from sklearn.metrics import confusion_matrix, classification_report
# Fit the model to the training data
# Predict the labels of the test data: y_pred
# Generate the confusion matrix and classification report
print(confusion_matrix(y_test, y_pred))
print(classification_report(y_test, y_pred))