# Quantile Regression on Scenario 2 n=10000 Source: [Quantile Regression on Scenario 2 n=10000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.235Z Evaluation of model performance for Quantile Regression on the Scenario 2 dataset with 10,000 samples, assessed using Mean Squared Error (MSE) across various quantiles (τ=0.05, 0.25, 0.5, 0.75, 0.95). 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 | Quantile Regression | | Dataset (including any stated split) | Scenario 2 n=10000 | | Metric | MSE (τ=0.05) | | Unit | SCALAR | | Direction | Lower is better | | Results loaded | 16 of 16 | | 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 - [MSE (τ=0.05)](): Lower is better; unit: SCALAR. - [MSE (τ=0.25)](): Lower is better; unit: SCALAR. - [MSE (τ=0.5)](): Lower is better; unit: SCALAR. - [MSE (τ=0.75)](): Lower is better; unit: SCALAR. - [MSE (τ=0.95)](): Lower is better; unit: SCALAR. ## Recorded results | Method | MSE (τ=0.05) | Result date | Report paper | | --- | --- | --- | --- | | ConquerNet | 0.1008 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1038 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1043 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1049 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1085 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1136 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1172 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1227 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1254 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1285 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1302 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1316 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1323 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.143 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1457 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1704 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (τ=0.05): 0.1008. Result ID: 69fdbd2a47f34ce924e16559. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1038. Result ID: 69fdbd2a47f34ce924e165ab. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1043. Result ID: 69fdbd2a47f34ce924e1655a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1049. Result ID: 69fdbd2a47f34ce924e1655b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1085. Result ID: 69fdbd2a47f34ce924e165a9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1136. Result ID: 69fdbd2a47f34ce924e16556. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1172. Result ID: 69fdbd2a47f34ce924e165aa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1227. Result ID: 69fdbd2a47f34ce924e16557. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1254. Result ID: 69fdbd2a47f34ce924e16558. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1285. Result ID: 69fdbd2a47f34ce924e16554. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1302. Result ID: 69fdbd2a47f34ce924e16555. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1316. Result ID: 69fdbd2a47f34ce924e165a5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1323. Result ID: 69fdbd2a47f34ce924e165a8. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.143. Result ID: 69fdbd2a47f34ce924e165a7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1457. Result ID: 69fdbd2a47f34ce924e165a6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1704. Result ID: 69fdbd2a47f34ce924e165a4. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.