from sklearn import tree

#[height, weight, shoe size]

X=[[181,80,40], [177,70,43], [160,60,38], 154,54,37],[166,65,40], [190,90,47], [175,64,39], [177,70,40], [159,55,37], [171, 75, 42], [181,85,43]

Y = ['male', 'female','female', 'female', 'male', 'male', 'male', 'female', 'male', 'female', 'male']

clf = tree.DecisionTreeClassifier()

clf = clf.fit(X,Y)

prediction = clf.predict([[190,70,43]])

print(prediction)