1 #简单的决策树分类 2 from sklearn import tree 3 features = [[300,2],[450,2],[200,8],[150,9]] 4 labels = [‘apple‘,‘apple‘,‘orange‘,‘orange‘] 5 clf = tree.DecisionTreeClassifier() 6 clf = clf.fit(features,labels) 7 print(clf.predict([[400,6]]))
原文：https://www.cnblogs.com/caioo0/p/9565320.html