回归模型中的误差度量方式

前三种最常用

1 MAE（Mean Absolute Error）平均绝对差值

MAE=1N∑i=0n|Yi−Yhati|

2 MSE(Mean Square Error)均方误差

MSE=1N∑i=0n(Y2−Yhat2)

3 RMSE(Root Mean Square error)均方根误差

RMSE=1N∑i=0n(Y2−Yhat2)−−−−−−−−−−−−−−−−√

RMSD=1N∑i=0n(x1,i−x2,i)2−−−−−−−−−−−−−−−√

4 Normalized root-mean-square deviation归一化均方差跟偏差

5 coefficient of variation of the RMSD

6 Pearson’s Correlation Coefficient(皮尔逊相关系数)

7 concordance correlation coefficient(一致性相关系数)

参考：
http://blog.csdn.net/computerme/article/details/38871467
http://blog.csdn.net/zryxh1/article/details/53161011
http://blog.csdn.net/reallocing1/article/details/56292877