Research Article
Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach
Table 4
Statistical criteria of each predicted models for USGS 14150000 station during the training set.
| Model | MAE | RMSE | MARE | RMSRE | RRMSE | | erMAX | U95 |
| ELM-M1 | 0.374 | 0.583 | 0.004 | 0.006 | 0.574 | 0.981 | 1.086 | 0.862 | SVR-M1 | 0.293 | 0.569 | 0.003 | 0.006 | 0.560 | 0.981 | 1.086 | 0.819 | ELM-M2 | 0.328 | 0.575 | 0.003 | 0.006 | 0.567 | 0.981 | 1.087 | 0.852 | SVR-M2 | 0.319 | 0.546 | 0.003 | 0.005 | 0.538 | 0.982 | 1.086 | 0.698 | ELM-M3 | 0.326 | 0.569 | 0.003 | 0.006 | 0.561 | 0.981 | 1.086 | 0.819 | SVR-M3 | 0.296 | 0.564 | 0.003 | 0.006 | 0.556 | 0.981 | 1.086 | 0.795 | ELM-M4 | 0.309 | 0.566 | 0.003 | 0.006 | 0.557 | 0.981 | 1.086 | 0.802 | SVR-M4 | 0.280 | 0.556 | 0.003 | 0.005 | 0.548 | 0.981 | 1.086 | 0.750 | ELM-M5 | 0.344 | 0.572 | 0.003 | 0.006 | 0.563 | 0.981 | 1.085 | 0.820 | SVR-M5 | 0.271 | 0.530 | 0.003 | 0.005 | 0.522 | 0.983 | 1.086 | 0.618 | ELM-M6 | 0.369 | 0.578 | 0.004 | 0.006 | 0.570 | 0.981 | 1.084 | 0.832 | SVR-M6 | 0.296 | 0.503 | 0.003 | 0.005 | 0.495 | 0.985 | 1.085 | 0.492 | ELM-M7 | 0.367 | 0.585 | 0.004 | 0.006 | 0.576 | 0.980 | 1.089 | 0.918 | SVR-M7 | 0.288 | 0.568 | 0.003 | 0.006 | 0.559 | 0.981 | 1.086 | 0.817 | ELM-M8 | 0.439 | 0.624 | 0.004 | 0.006 | 0.614 | 0.979 | 1.092 | 1.163 | SVR-M8 | 2.810 | 3.103 | 0.027 | 0.030 | 3.056 | 0.661 | 1.073 | 465.864 |
|
|