Regression on Yolanda
0.7816nRMSExRFM
Evaluation Results
| Method | Links | |
|---|---|---|
| xRFMAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.7816 | |
| ResNet-RTDLAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.7856 | |
| RealMLPAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.7869 | |
| MLP-PLRAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.7897 | |
| MLP-RTDLAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.7927 | |
| LGBMAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.797 | |
| XGBAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.8012 | |
| CatBoostAveraging=5 train/test splits, Framework=pytabkit2025.08 | 0.8094 |