#the model.predict_proba is turned into a dataframe to make it more accessible

#train the model
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size = 0.2, random_state = 263)

#test the model
model = tree.DecisionTreeClassifier()
model.fit(X_train, y_train)
df2 = pd.DataFrame(model.predict_proba(X_test))
model.score(X_test, y_test)