MSE，RMSE，MAE，MARE误差分析
MSE（Mean Square Error）均方误差
$$MSE=\frac{1}{n}\sum_{i=0}^n(y_i-y_{i,pred})^2$$
RMSE（Root Mean Square Error）均方根误差
$$RMSE=\sqrt{\frac{1}{n}\sum_{i=0}^n(y_i-y_{i,pred})^2}$$
MAE(Mean absolute error)平均绝对误差
$$MAE=\frac{1}{m}\sum_{i=0}^n|y_i-y_{i,pred}|$$
MARE(Mean absolute relative error)
$$MARE=\frac{1}{m}\sum_{i=0}^n|\frac{y_i-y_{i,pred}}{y_i}|$$