# Quantile Regression on Scenario 1 n=1000 Source: [Quantile Regression on Scenario 1 n=1000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.043Z Evaluation of model performance for Quantile Regression on the Scenario 1 n=1000 dataset, 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 1 n=1000 | | 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 | | --- | --- | --- | --- | | Baseline | 0.3316 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.3356 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.3457 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.3525 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.3596 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.368 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.3719 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.3787 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.382 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.3842 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.4158 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.4275 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.4354 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.4448 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.5652 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.6733 | Not recorded | 69fd6e1f5497b3b670c894ba | ### Baseline MSE (τ=0.05): 0.3316. Result ID: 69fdbd2a47f34ce924e1652c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.3356. Result ID: 69fdbd2a47f34ce924e1652f. [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): 0.3457. Result ID: 69fdbd2a47f34ce924e16530. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.3525. Result ID: 69fdbd2a47f34ce924e16531. [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): 0.3596. Result ID: 69fdbd2a47f34ce924e16532. [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): 0.368. Result ID: 69fdbd2a47f34ce924e16533. [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): 0.3719. Result ID: 69fdbd2a47f34ce924e1652e. [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): 0.3787. Result ID: 69fdbd2a47f34ce924e1652d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.382. Result ID: 69fdbd2a47f34ce924e1657c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.3842. Result ID: 69fdbd2a47f34ce924e16580. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.4158. Result ID: 69fdbd2a47f34ce924e16581. [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): 0.4275. Result ID: 69fdbd2a47f34ce924e16583. [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): 0.4354. Result ID: 69fdbd2a47f34ce924e1657d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.4448. Result ID: 69fdbd2a47f34ce924e1657e. [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): 0.5652. Result ID: 69fdbd2a47f34ce924e16582. [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): 0.6733. Result ID: 69fdbd2a47f34ce924e1657f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. Page 1 of 1. 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