Appendix: Biased models' results
Results#
| Metric | MSE | RMSE | MAE | \(R^2\) statistic | MAPE (%) | MdAPE (%) |
|---|---|---|---|---|---|---|
| Linear regression | 1352593.034 | 1163.010333 | 867.0930714 | 0.2794147959 | 27.86183292 | 16.06557412 |
| Polynomial regression | 1051763.669 | 1025.555298 | 767.3399047 | 0.4396796974 | 24.53005988 | 14.29984301 |
| kNN regressor | 12.19616818 | 3.492301272 | 1.578744179 | 0.9999934177 | 0.04201759327 | 0.02590745257 |
| XGBoost regressor | 85318.35251 | 292.0930545 | 216.6817757 | 0.9539896815 | 5.771889484 | 4.133103921 |
| Neural networks (56-20-1) | 90932.32792 | 301.5498763 | 219.5870593 | 0.9509621876 | 5.805839988 | 4.108291812 |
| Naive decision trees | 101915.8061 | 319.2425506 | 228.7668409 | 0.944995967 | 6.035996068 | 4.125049304 |
| AdaBoost (with DT) | 792811.0638 | 890.3993845 | 754.9641695 | 0.5721193057 | 22.78368677 | 17.78113201 |
| Bagging regressor (with DT) | 68022.14095 | 260.8105461 | 187.8941249 | 0.9632884022 | 5.089858455 | 3.417956829 |
Abbreviations used:#
- MSE: mean squared error
- RMSE: root mean squared error
- MAE: mean absolute error
- MAPE: mean absolute percentage error
- MdAPE: median absolute percentage error