Performance
criteria |
ANN
Learning |
Test |
MLR
Learning |
Test |
R² |
0.95 |
0.97 |
0.94 |
0.96 |
E |
0.94 |
0.97 |
0.94 |
0.96 |
MSE (mm/d)² |
0.33 |
0.16 |
0.34 |
0.23 |
RMSE (mm/d) |
0.57 |
0.40 |
0.58 |
0.48 |
MARE (%) |
7.03 |
5.81 |
7.57 |
6.97 |
Where R² is the determination coefficient, E is the Nash-Sutcliffe efficiency, MSE
is the mean-square error (mm/day)² , RMSE is the root mean squared error (mm/
day) and MARE is the mean absolute relative error (%) |