Decision Tree Prediction

from sklearn import tree

X = [[0, 0], [2, 2]]
y = [0.5, 2.5]

clf = tree.DecisionTreeRegressor()
clf = clf.fit(X, y)

predicted = clf.predict([[1, 1]])

print(predicted)