Table III.
Regression Model Error Rates on Optimal Data Subset
| Feature | Baseline | Linear Model | Quadratic Logistic GLM | ||
|---|---|---|---|---|---|
| MAE | Data Subset | MAE | Data Subset | MAE | |
| ENT | 4.724 | Weekday | 4.432*** | Weekday | 3.968*** |
| NENT | 4.724 | Optimized | 4.207*** | Weekday | 4.125*** |
| LV | 4.724 | Optimized | 4.276*** | Optimized | 4.205*** |
| HS | 4.724 | Weekday | 4.602*** | Weekday | 4.197*** |
| TT | 4.724 | Weekend | 4.530*** | Weekend | 4.520** |
| TD | 4.724 | Base | 4.664** | Median | 4.666 |
| NC | 4.724 | Weekend | 4.516** | Weekend | 4.576* |
| DM | 4.724 | Optimized | 4.262*** | Optimized | 4.215*** |
| DMN | 4.724 | Optimized | 4.629** | Optimized | 4.618* |
| DMD | 4.724 | Optimized | 4.491*** | Optimized | 4.503*** |
| Combined | 4.724 | Ten Features | 3.748*** | 14 Features | 3.737** |
Significance of fitted model from the baseline model indicated by asterisks: * < 0.05; ** < 0.01; *** < 0.001.
Feature abbreviations are given in Table II; MAE: mean absolute error.