
from sklearn import tree
features = [[140, 1],[130, 1], [150, 0], [170, 0]]
labels = [0 , 0 , 1 , 1]
clf = tree.DecisionTreeClassifier()
clf = clf.fit(features, labels)
print(clf.predict([[110, 1]]))




