# Quantile Regression on Scenario 2 (n=5000) Source: [Quantile Regression on Scenario 2 (n=5000)]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.203Z Evaluation of model performance for Quantile Regression on the Scenario 2 dataset subset (N=5000), 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=5000) | | 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 | 0.143 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1445 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1682 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1706 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1732 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.18 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1847 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1907 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2076 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2151 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2202 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.229 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2308 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.2415 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.2752 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (τ=0.05): 0.143. Result ID: 69fdbd2a47f34ce924e16551. [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): 0.1445. Result ID: 69fdbd2a47f34ce924e16552. [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): 0.1682. Result ID: 69fdbd2a47f34ce924e16553. [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): 0.1706. Result ID: 69fdbd2a47f34ce924e165a2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1732. Result ID: 69fdbd2a47f34ce924e165a0. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.18. Result ID: 69fdbd2a47f34ce924e165a1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.1847. Result ID: 69fdbd2a47f34ce924e16550. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.1907. Result ID: 69fdbd2a47f34ce924e1654f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.2. Result ID: 69fdbd2a47f34ce924e1654e. [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): 0.2076. Result ID: 69fdbd2a47f34ce924e1654d. [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): 0.2151. Result ID: 69fdbd2a47f34ce924e165a3. [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): 0.2202. Result ID: 69fdbd2a47f34ce924e1659d. [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): 0.229. Result ID: 69fdbd2a47f34ce924e1654c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.2308. Result ID: 69fdbd2a47f34ce924e1659e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Uniform"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.2415. Result ID: 69fdbd2a47f34ce924e1659f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.2752. Result ID: 69fdbd2a47f34ce924e1659c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. Page 1 of 1. 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