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.