Table 2. Machine Learning Models Evaluation.
| measure | data | RFR | ADA | SVR | GDT |
|---|---|---|---|---|---|
| R2 | training | 1.0000 | 1.0000 | 0.9950 | 1.0000 |
| testing | 1.0000 | 1.0000 | 0.9930 | 1.0000 | |
| validation | 1.0000 | 1.0000 | 0.9910 | 1.0000 | |
| RMSE | training | 0.0000 | 0.0000 | 0.0873 | 0.0169 |
| testing | 0.0000 | 0.0000 | 0.1001 | 0.0161 | |
| validation | 0.0000 | 0.0000 | 0.1131 | 0.0156 | |
| MAE | training | 0.0000 | 0.0000 | 0.0677 | 0.0113 |
| testing | 0.0000 | 0.0000 | 0.0775 | 0.0106 | |
| validation | 0.0000 | 0.0000 | 0.0792 | 0.0103 |