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ahangchen

sklearn

May 18, 2016

ce9115e · May 18, 2016

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hello_world.py

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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([[150, 0]])

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