# Quantile Regression on Scenario 3 n=10000 Source: [Quantile Regression on Scenario 3 n=10000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.354Z Evaluation of model performance for Quantile Regression on the Scenario 3 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 3 n=10000 | | Metric | MSE (tau=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 (tau=0.05)](): Lower is better; unit: SCALAR. - [MSE (tau=0.25)](): Lower is better; unit: SCALAR. - [MSE (tau=0.5)](): Lower is better; unit: SCALAR. - [MSE (tau=0.75)](): Lower is better; unit: SCALAR. - [MSE (tau=0.95)](): Lower is better; unit: SCALAR. ## Recorded results | Method | MSE (tau=0.05) | Result date | Report paper | | --- | --- | --- | --- | | ConquerNet | 0.6307 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.6785 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7167 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7278 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.7292 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7502 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7556 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7679 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.7786 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.7821 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.8147 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.823 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.8256 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.8395 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.879 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.9232 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (tau=0.05): 0.6307. Result ID: 69fdbd2a47f34ce924e16572. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.6785. Result ID: 69fdbd2a47f34ce924e16571. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.7167. Result ID: 69fdbd2a47f34ce924e165c2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.7278. Result ID: 69fdbd2a47f34ce924e16573. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Baseline MSE (tau=0.05): 0.7292. Result ID: 69fdbd2a47f34ce924e16570. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.7502. Result ID: 69fdbd2a47f34ce924e165c3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.7556. Result ID: 69fdbd2a47f34ce924e1656d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.7679. Result ID: 69fdbd2a47f34ce924e1656f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Baseline MSE (tau=0.05): 0.7786. Result ID: 69fdbd2a47f34ce924e165c0. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### Baseline MSE (tau=0.05): 0.7821. Result ID: 69fdbd2a47f34ce924e1656c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.8147. Result ID: 69fdbd2a47f34ce924e1656e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.823. Result ID: 69fdbd2a47f34ce924e165bf. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.8256. Result ID: 69fdbd2a47f34ce924e165c1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.8395. Result ID: 69fdbd2a47f34ce924e165bd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (tau=0.05): 0.879. Result ID: 69fdbd2a47f34ce924e165be. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### Baseline MSE (tau=0.05): 0.9232. Result ID: 69fdbd2a47f34ce924e165bc. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. 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