from sklearn import tree

#dataset [height, weight, shoe size]
X = [[181,80,44], [177,70,43], [160,60,38], [154,54,37], [166,65,40], [190,90,47], [175,64,39],[177,70,40], [159,55,37], [172,75,42], [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)