如何利用Python建立决策树模型

1、输入数据集。importpandasaspddf=pd.DataFrame({'name':缪梨痤刻['Lily','Lucy','Jim','Tom','Anna','Jack','Sam'],'weight':[42,38,78,67,52,80,92],'height':[162,158,169,170,166,175,178],'is_fat':[0,0,1,0,1,0,1]})

3、准备训练集，is_fat为目标变量,'weight'和'height'为自变量。X=df.loc[:,['weight','height']]y=df['is_fat']

5、利用模型进行预测。y_pred=clf.predict(X)print(y_pred)