Bus Occupancy Prediction on Be’er Sheva APC (test)
4.81RMSELightGBM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LightGBMSpatial Modeling Approach=Polygon-based, Feature Configuration=with ID Features, Experiments=Average of 142026.04 | 4.81 | 3.21 | 2,790,000,000 | 74.48 | 74.21 | |
| CatBoostSpatial Modeling Approach=Polygon-based, Feature Configuration=with ID Features, Experiments=Average of 142026.04 | 4.87 | 3.25 | 2,750,000,000 | 75.46 | 75.6 | |
| RandomForestSpatial Modeling Approach=Polygon-based, Feature Configuration=with ID Features, Experiments=Average of 142026.04 | 4.96 | 3.3 | 2,740,000,000 | 76.85 | 75.8 | |
| XGBoostSpatial Modeling Approach=Polygon-based, Feature Configuration=with ID Features, Experiments=Average of 142026.04 | 5.02 | 3.36 | 2,820,000,000 | 77.9 | 77.38 | |
| LinearRegressionSpatial Modeling Approach=Polygon-based, Feature Configuration=with ID Features, Experiments=Average of 142026.04 | 2,002.89 | 50.37 | 112,000,000,000 | 31,800 | 177.34 |