# Quantile Regression on Scenario 3 n=5000 Source: [Quantile Regression on Scenario 3 n=5000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.311Z Evaluation of model performance for Quantile Regression on the Scenario 3 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 3 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 | 0.8839 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.9431 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.9813 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.9965 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.0053 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 1.0061 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.0602 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.1147 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.1222 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.1229 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.1577 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 1.1872 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.2056 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.2444 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 1.287 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 1.3139 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (τ=0.05): 0.8839. Result ID: 69fdbd2a47f34ce924e1656b. [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): 0.9431. Result ID: 69fdbd2a47f34ce924e1656a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Kernel":"Uniform"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.9813. Result ID: 69fdbd2a47f34ce924e16568. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.9965. Result ID: 69fdbd2a47f34ce924e16569. [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): 1.0053. Result ID: 69fdbd2a47f34ce924e165bb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model B","Smoothing Kernel":"Epanechnikov"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 1.0061. Result ID: 69fdbd2a47f34ce924e165b8. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 1.0602. Result ID: 69fdbd2a47f34ce924e165b9. [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): 1.1147. Result ID: 69fdbd2a47f34ce924e16566. [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): 1.1222. Result ID: 69fdbd2a47f34ce924e16565. [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): 1.1229. Result ID: 69fdbd2a47f34ce924e165b7. [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): 1.1577. Result ID: 69fdbd2a47f34ce924e165b6. [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): 1.1872. Result ID: 69fdbd2a47f34ce924e16564. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 1.2056. Result ID: 69fdbd2a47f34ce924e165ba. [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): 1.2444. Result ID: 69fdbd2a47f34ce924e16567. [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): 1.287. Result ID: 69fdbd2a47f34ce924e165b4. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 1.3139. Result ID: 69fdbd2a47f34ce924e165b5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Smoothing Kernel":"Gaussian"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.