Statistics

Formula

Best Value

Mean Square Error

$MSE=\frac{1}{N}{\displaystyle \sum }_{i=1}^N{\left(O_i-P_i\right)}^2$

0

Mean Absolute Error

$MAE=\frac{1}{N}{\displaystyle \sum }_{i=1}^N\left|\left(O_i-P_i\right)\right|$

0

Root Mean Square Error

$RMSE=\sqrt{\frac{1}{N}{\displaystyle \sum }_{i=1}^N{\left(O_i-P_i\right)}^2}$

0

Relative Root Mean Square Error

$RRMSE=\sqrt{\frac{1}{N}{\displaystyle \sum }_{i=1}^N{\left(\frac{O_i-P_i}{O_i}\right)}^2}$

0

Correlation Coefficient

$CC=\frac{{{\displaystyle \sum }}^{\text{}}\left(O_i-\overline{O}\right)\left(P_i-\overline{P}\right)}{\sqrt{{{\displaystyle \sum }}^{\text{}}{\left(O_i-\overline{O}\right)}^2{{\displaystyle \sum }}^{\text{}}{\left(P_i-\overline{P}\right)}^2}}$

−1 or 1