Values of performance measures and improvement indices of the predictive models
Equation . | Train . | Test . | |||||||
---|---|---|---|---|---|---|---|---|---|
RMSE . | MAE . | CC . | IMTrain . | RMSE . | MAE . | CC . | IMTest . | ||
Najafzadeh et al. (2013) | 0.221 | 0.170 | 0.888 | – | 0.182 | 0.150 | 0.905 | – | |
GMDH-GLUE | 0.195 | 0.164 | 0.916 | – | 0.173 | 0.144 | 0.906 | – | |
GP | 0.214 | 0.176 | 0.894 | – | 0.266 | 0.216 | 0.789 | – | |
Improvement (%) | GMDH-GLUE | 12.11 | 3.23 | 3.16 | 6 | 4.76 | 4.02 | 0.11 | 3 |
GP | 3.31 | –3.55a | 0.71 | 0.2 | –46.27 | –44.11 | –12.80 | –34 |
Equation . | Train . | Test . | |||||||
---|---|---|---|---|---|---|---|---|---|
RMSE . | MAE . | CC . | IMTrain . | RMSE . | MAE . | CC . | IMTest . | ||
Najafzadeh et al. (2013) | 0.221 | 0.170 | 0.888 | – | 0.182 | 0.150 | 0.905 | – | |
GMDH-GLUE | 0.195 | 0.164 | 0.916 | – | 0.173 | 0.144 | 0.906 | – | |
GP | 0.214 | 0.176 | 0.894 | – | 0.266 | 0.216 | 0.789 | – | |
Improvement (%) | GMDH-GLUE | 12.11 | 3.23 | 3.16 | 6 | 4.76 | 4.02 | 0.11 | 3 |
GP | 3.31 | –3.55a | 0.71 | 0.2 | –46.27 | –44.11 | –12.80 | –34 |
aNote: the negative value means the GP model has lower performance compared to the GMDH model.