# BMI Prediction on Kaggle BMI Male Source: [BMI Prediction on Kaggle BMI Male]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.390Z Evaluation of Body Mass Index (BMI) prediction using quantile regression methods on the Kaggle BMI Male dataset, measured via Pinball loss at various quantiles. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | BMI Prediction | | Dataset (including any stated split) | Kaggle BMI Male | | Metric | Pinball Loss (τ=0.05) | | Unit | SCALAR | | Direction | Lower is better | | Results loaded | 12 of 12 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Pinball Loss (τ=0.05)](): Lower is better; unit: SCALAR. - [Pinball Loss (τ=0.25)](): Lower is better; unit: SCALAR. - [Pinball Loss (τ=0.5)](): Lower is better; unit: SCALAR. - [Pinball Loss (τ=0.75)](): Lower is better; unit: SCALAR. - [Pinball Loss (τ=0.95)](): Lower is better; unit: SCALAR. ## Recorded results | Method | Pinball Loss (τ=0.05) | Result date | Report paper | | --- | --- | --- | --- | | Gaussian | 0.5214 | Not recorded | 69fd6e1f5497b3b670c894ba | | Epanechnikov | 0.5215 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.5217 | Not recorded | 69fd6e1f5497b3b670c894ba | | Uniform | 0.5217 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.5218 | Not recorded | 69fd6e1f5497b3b670c894ba | | Epanechnikov | 0.5218 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.5218 | Not recorded | 69fd6e1f5497b3b670c894ba | | Uniform | 0.5218 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.5221 | Not recorded | 69fd6e1f5497b3b670c894ba | | Gaussian | 0.5221 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.5231 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.5231 | Not recorded | 69fd6e1f5497b3b670c894ba | ### Gaussian Pinball Loss (τ=0.05): 0.5214. Result ID: 69fdbd2a47f34ce924e165c9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Multiple Quantiles"}. This record does not assert independent reproduction. ### Epanechnikov Pinball Loss (τ=0.05): 0.5215. Result ID: 69fdbd2a47f34ce924e165cb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Multiple Quantiles"}. This record does not assert independent reproduction. ### ConquerNet Pinball Loss (τ=0.05): 0.5217. Result ID: 69fdbd2a47f34ce924e16576. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Gender":"Male","Kernel":"Uniform"}. This record does not assert independent reproduction. ### Uniform Pinball Loss (τ=0.05): 0.5217. Result ID: 69fdbd2a47f34ce924e165c6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Single Quantile"}. This record does not assert independent reproduction. ### ConquerNet Pinball Loss (τ=0.05): 0.5218. Result ID: 69fdbd2a47f34ce924e16577. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Gender":"Male","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Epanechnikov Pinball Loss (τ=0.05): 0.5218. Result ID: 69fdbd2a47f34ce924e165c7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Single Quantile"}. This record does not assert independent reproduction. ### Baseline Pinball Loss (τ=0.05): 0.5218. Result ID: 69fdbd2a47f34ce924e165c8. [Reporting paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Multiple Quantiles"}. This record does not assert independent reproduction. ### Uniform Pinball Loss (τ=0.05): 0.5218. Result ID: 69fdbd2a47f34ce924e165ca. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Multiple Quantiles"}. This record does not assert independent reproduction. ### ConquerNet Pinball Loss (τ=0.05): 0.5221. Result ID: 69fdbd2a47f34ce924e16575. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Gender":"Male","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### Gaussian Pinball Loss (τ=0.05): 0.5221. Result ID: 69fdbd2a47f34ce924e165c5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Single Quantile"}. This record does not assert independent reproduction. ### Baseline Pinball Loss (τ=0.05): 0.5231. Result ID: 69fdbd2a47f34ce924e16574. [Reporting paper]() Recorded evaluation configuration: {"Gender":"Male"}. This record does not assert independent reproduction. ### Baseline Pinball Loss (τ=0.05): 0.5231. Result ID: 69fdbd2a47f34ce924e165c4. [Reporting paper]() Recorded evaluation configuration: {"Quantile Training Strategy":"Single Quantile"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.