我运行了一个 KNN 模型。现在我想绘制残差与预测值图。来自不同网站的每个示例都表明我必须首先运行线性回归模型。但我不明白该怎么做。有人可以帮忙吗？提前致谢。这是我的模型-
train, validate, test = np.split(df.sample(frac=1), [int(.6*len(df)), int(.8*len(df))])
x_train = train.iloc[:,[2,5]].values
y_train = train.iloc[:,4].values
x_validate = validate.iloc[:,[2,5]].values
y_validate = validate.iloc[:,4].values
x_test = test.iloc[:,[2,5]].values
y_test = test.iloc[:,4].values
clf=neighbors.KNeighborsRegressor(n_neighbors = 6)
clf.fit(x_train, y_train)
y_pred = clf.predict(x_validate)