# Quantile Regression on Scenario 3 n=1000 Source: [Quantile Regression on Scenario 3 n=1000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.275Z Evaluation of model performance for Quantile Regression on the Scenario 3 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 3 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 | | --- | --- | --- | --- | | ConquerNet | 1.9425 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.1946 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 2.2566 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.3193 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.413 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.5481 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 2.8166 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.8543 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.8841 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 2.9702 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 3.0467 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 3.0766 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 3.1729 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 3.373 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 3.4479 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 3.9049 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (τ=0.05): 1.9425. Result ID: 69fdbd2a47f34ce924e16562. [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): 2.1946. Result ID: 69fdbd2a47f34ce924e165b2. [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): 2.2566. Result ID: 69fdbd2a47f34ce924e16560. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 2.3193. Result ID: 69fdbd2a47f34ce924e165b1. [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): 2.413. Result ID: 69fdbd2a47f34ce924e16563. [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): 2.5481. Result ID: 69fdbd2a47f34ce924e16561. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Gaussian"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 2.8166. Result ID: 69fdbd2a47f34ce924e165b0. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 2.8543. Result ID: 69fdbd2a47f34ce924e1655d. [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): 2.8841. Result ID: 69fdbd2a47f34ce924e165ad. [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): 2.9702. Result ID: 69fdbd2a47f34ce924e165b3. [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): 3.0467. Result ID: 69fdbd2a47f34ce924e1655f. [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): 3.0766. Result ID: 69fdbd2a47f34ce924e165ac. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 3.1729. Result ID: 69fdbd2a47f34ce924e1655c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 3.373. Result ID: 69fdbd2a47f34ce924e165ae. [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): 3.4479. Result ID: 69fdbd2a47f34ce924e165af. [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): 3.9049. Result ID: 69fdbd2a47f34ce924e1655e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Uniform"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.