迴歸模型coef問題 - Cupoy

2020/04/10 01:07 下午

機器學習共學討論版

江柏勳

觀看數：11

回答數：3

收藏數：0

plt.figure()

wine=datasets.load_wine()

x_train, x_test, y_train, y_test = train_test_split(wine.data, wine.target, test_size=0.2, random_state=4)

for i,j in zip([0.0001,0.001,0.01,0.1],[1,2,3,4]):

   model=linear_model.Ridge(alpha=i)

model.fit(x_train,y_train)

   y_pred=model.predict(x_test)

   print("Mean Square Error:{}".format( mean_squared_error(y_test, y_pred)))

   print("cofficient:",np.reshape(model.coef_,(-1,1)))

   plt.subplot(2,2,j)

   plt.scatter(x_test,x_test)

   plt.plot(x_test,y_pred)

想問一下就是請問coef_這邊是只回歸之後每個變數的係數?

然後想問一下這是這張圖有什麼意涵可以解讀嗎?

(程式碼寫得不夠精簡請見諒)