BMI Prediction on Kaggle BMI Male
0.5214Pinball Loss (τ=0.05)Gaussian
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GaussianQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5214 | 2.0625 | 2.7407 | 2.052 | 0.5192 | |
| EpanechnikovQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5215 | 2.0621 | 2.7399 | 2.0521 | 0.5197 | |
| ConquerNetGender=Male, Kernel=Uniform2026.05 | 0.5217 | 2.0618 | 2.7403 | 2.0521 | 0.5192 | |
| UniformQuantile Training Strategy=Single Quantile2026.05 | 0.5217 | 2.0618 | 2.7403 | 2.0521 | 0.5192 | |
| ConquerNetGender=Male, Kernel=Epanechnikov2026.05 | 0.5218 | 2.0636 | 2.7389 | 2.0518 | 0.5205 | |
| EpanechnikovQuantile Training Strategy=Single Quantile2026.05 | 0.5218 | 2.0636 | 2.7389 | 2.0518 | 0.5205 | |
| BaselineQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5218 | 2.0629 | 2.7415 | 2.0523 | 0.5198 | |
| UniformQuantile Training Strategy=Multiple Quantiles2026.05 | 0.5218 | 2.0619 | 2.7395 | 2.0517 | 0.5201 | |
| ConquerNetGender=Male, Kernel=Gaussian2026.05 | 0.5221 | 2.0609 | 2.7384 | 2.0513 | 0.5189 | |
| GaussianQuantile Training Strategy=Single Quantile2026.05 | 0.5221 | 2.0609 | 2.7384 | 2.0513 | 0.5189 | |
| BaselineGender=Male2026.05 | 0.5231 | 2.0638 | 2.7387 | 2.0534 | 0.519 | |
| BaselineQuantile Training Strategy=Single Quantile2026.05 | 0.5231 | 2.0638 | 2.7387 | 2.0534 | 0.519 |