#1,计算MAE
MAE<-sprintf("%.2f",mean(abs(actual-predicted)))
#2,计算RMSE
library(Metrics)
RMSE<-sprintf("%.2f",rmse(actual,predicted))
#3,计算error_abs_SD
SD<-sprintf("%.2f",sd(abs(actual-predicted)))
#4,计算bias,科学计数法
library(scales)
Bias<-scientific(
mean(actual-predicted),
digits = 3)