Table 13.
Model target positions using the hybrid-based feature selection approach.
| Mean Absolute Error (MAE in Meter) | ||
|---|---|---|
| Classifiers | Before TL | After TL |
| Decision Tree | 2.29 | 1.07 |
| K-Neighbor (KNN) | 1.81 | 1.26 |
| Support Vector Machine (SVC) | 1.75 | 0.98 |
| Logistic Regression (LR) | 2.51 | 2.04 |
| Random Forest | 2.48 | 1.21 |
| Neural Network (MLP) | 1.93 | 1.36 |
| Proposed algorithm (Hybrid-based) | 1.76 | 1.30 |