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仅用于学习日记 不可用于任何商业用途

#目的：利用GBDT对客户流失进行预测 #1、整理数据 #利用字典的形式，将数据中的的非数字转为数字，如为空转为0 #2、分割数据 #利用sklearn中的train_test_split(data,test_size,random_state) #3、定义模型和训练 #model=sklearn.ensemble.GradientBoostingClassifier(learning_rate,n_estimators,max_dapth) #model.fit(train_x,train_y) #4、评估模型 #model.predict(test_x)预测y #预测出的y为概率 所以需要二分类 y>0.5 则为1 反之为0 #sklearn.metrics.mean_squared_error(y_predict,y_test)计算mse #sklearn.metrics.accuracy_score(y_predict,y_test) 计算正确率

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