在数据集上运行线性回归后，我的RMSE即将达到1109.181

Question

我正在医学数据集上运行线性回归。

from sklearn.model_selection import train_test_split
train,test=train_test_split(cf_train,random_state=123,test_size=0.2)
x_train=train.drop(["Medicine_ID","Counterfeit_Sales"],1)
y_train=train["Counterfeit_Sales"]
x_test=train.drop(["Medicine_ID","Counterfeit_Sales"],1)
y_test=train["Counterfeit_Sales"]

from sklearn.linear_model import LinearRegression
lm=LinearRegression()
p_test=lm.predict(x_test)
residual=p_test-y_test
rmse=np.sqrt(np.dot(residual,residual)/len(p_test))

完成数据清理部分后，我尝试运行线性回归（正如我所预测的Counterfeit_sales）。但是我的RMSE即将为“ 1109.18”。请告诉我哪里出了问题？

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