# Split
# Scale

# Fit
from sklearn.tree import DecisionTreeClassifier
classifier = DecisionTreeClassifier(criterion = 'entropy', random_state = 0)
classifier.fit(X_train, y_train)

# how are the predictions looking on the test set
yhat = classifier.predict(X_test)