Table 6 Quantitative performance indicators of models using individual data.
Final test results (Individual data) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model | Training | Testing | ||||||||||
MAE | RMSE | R2 | 95th percentile error | 99th percentile error | Max_error | MAE | RMSE | R2 | 95th percentile error | 99th percentile error | Max_error | |
Decision Tree | 0.7276 | 0.9032 | 0.9975 | 1.7733 | 2.1495 | 2.3283 | 1.1732 | 1.5914 | 0.9913 | 3.4574 | 3.7499 | 3.8150 |
LightGBM | 0.7276 | 0.9032 | 0.9975 | 1.7733 | 2.1495 | 2.3283 | 1.1733 | 1.5914 | 0.9913 | 3.4578 | 3.7503 | 3.8154 |
Polynomial MLR (deg = 2) | 0.7439 | 0.9505 | 0.9972 | 1.9631 | 2.1576 | 2.3507 | 1.2056 | 1.6245 | 0.9910 | 3.4574 | 3.7499 | 3.8150 |
Random Forest | 0.7364 | 0.9117 | 0.9975 | 1.7680 | 2.0993 | 2.3577 | 1.2497 | 1.6322 | 0.9909 | 3.5530 | 3.8513 | 3.9164 |
Ridge | 2.6039 | 3.1980 | 0.9688 | 5.8326 | 6.3379 | 6.5610 | 2.2520 | 2.6890 | 0.9752 | 4.8088 | 4.9973 | 5.0464 |
MLR | 2.6039 | 3.1980 | 0.9688 | 5.8326 | 6.3379 | 6.5611 | 2.2520 | 2.6890 | 0.9752 | 4.8087 | 4.9973 | 5.0465 |
