Table 14.
MAE, RMSE, MSE, R and NSE values of each model.
Model | Evaluation | Name of Algorithm | ||
---|---|---|---|---|
LM | SCG | BR | ||
Model I | MAE | 0.203 | 0.2073 | 0.2015 |
RMSE | 0.2913 | 0.2953 | 0.2884 | |
MSE | 0.0848 | 0.0872 | 0.0832 | |
R | 0.7566 | 0.7368 | 0.7565 | |
NSE | 0.5682 | 0.5556 | 0.5770 | |
Model II | MAE | 0.2104 | 0.2282 | 0.2094 |
RMSE | 0.3078 | 0.3364 | 0.3065 | |
MSE | 0.0948 | 0.1132 | 0.0939 | |
R | 0.71415 | 0.64402 | 0.74377 | |
NSE | 0.5145 | 0.4165 | 0.5192 | |
Model III | MAE | 0.1864 | 0.2096 | 0.1872 |
RMSE | 0.2732 | 0.3027 | 0.2698 | |
MSE | 0.0746 | 0.0916 | 0.0728 | |
R | 0.76435 | 0.70069 | 0.78104 | |
NSE | 0.6222 | 0.5306 | 0.6313 | |
Model IV | MAE | 0.183 | 0.1897 | 0.1789 |
RMSE | 0.2621 | 0.2729 | 0.2581 | |
MSE | 0.0687 | 0.0745 | 0.0666 | |
R | 0.8142 | 0.79 | 0.8113 | |
NSE | 0.6536 | 0.6231 | 0.6654 |