Regression on NYC Taxi Green Dec 2016
0.5834nRMSExRFM
Evaluation Results
| Method | Links | |
|---|---|---|
| xRFMAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.5834 | |
| RealMLPAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6142 | |
| ResNet-RTDLAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6365 | |
| LGBMAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6489 | |
| MLP-PLRAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6523 | |
| CatBoostAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6567 | |
| XGBAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6649 | |
| MLP-RTDLAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.6657 |