BMI Prediction on Kaggle BMI (Female)
0.5202Pinball Loss (τ=0.05)ConquerNet
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ConquerNetGender=Female, Kernel=Gaussian2026.05 | 0.5202 | 2.0446 | 2.7323 | 2.0531 | 0.5259 | |
| GaussianQuantile Training Strategy=Single Quantile2026.05 | 0.5202 | 2.0446 | 2.7323 | 2.0531 | 0.5259 | |
| UniformQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5202 | 2.0449 | 2.7295 | 2.0526 | 0.5248 | |
| GaussianQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5203 | 2.045 | 2.7305 | 2.0529 | 0.525 | |
| BaselineQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5204 | 2.0449 | 2.7291 | 2.0531 | 0.5251 | |
| ConquerNetGender=Female, Kernel=Epanechnikov2026.05 | 0.5205 | 2.0454 | 2.7276 | 2.0523 | 0.5248 | |
| EpanechnikovQuantile Training Strategy=Single Quantile2026.05 | 0.5205 | 2.0454 | 2.7276 | 2.0523 | 0.5248 | |
| ConquerNetGender=Female, Kernel=Uniform2026.05 | 0.5211 | 2.0497 | 2.7311 | 2.0642 | 0.5251 | |
| UniformQuantile Training Strategy=Single Quantile2026.05 | 0.5211 | 2.0497 | 2.7311 | 2.0642 | 0.5251 | |
| EpanechnikovQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5212 | 2.046 | 2.7325 | 2.0579 | 0.529 | |
| BaselineGender=Female2026.05 | 0.5218 | 2.0596 | 2.7366 | 2.0555 | 0.5249 | |
| BaselineQuantile Training Strategy=Single Quantile2026.05 | 0.5218 | 2.0596 | 2.7366 | 2.0555 | 0.5249 |