简单的决策树

#简单的决策树分类
from sklearn import tree
features = [[300,2],[450,2],[200,8],[150,9]]
labels = ['apple','apple','orange','orange']
clf = tree.DecisionTreeClassifier()
clf = clf.fit(features,labels)
print(clf.predict([[400,6]]))