# Quantile Regression on Scenario 2 n=1000 Source: [Quantile Regression on Scenario 2 n=1000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.163Z Evaluation of model performance for Quantile Regression on the Scenario 2 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 2 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 | 0.4515 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.493 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.521 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.58 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.6414 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.644 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.6887 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7154 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7367 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7481 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.7892 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.7994 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.819 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.8292 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.8892 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.9192 | Not recorded | 69fd6e1f5497b3b670c894ba | ### ConquerNet MSE (τ=0.05): 0.4515. Result ID: 69fdbd2a47f34ce924e1659a. [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): 0.493. Result ID: 69fdbd2a47f34ce924e16598. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.521. Result ID: 69fdbd2a47f34ce924e16548. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.58. Result ID: 69fdbd2a47f34ce924e1659b. [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): 0.6414. Result ID: 69fdbd2a47f34ce924e1654b. [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): 0.644. Result ID: 69fdbd2a47f34ce924e1654a. [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): 0.6887. Result ID: 69fdbd2a47f34ce924e16547. [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): 0.7154. Result ID: 69fdbd2a47f34ce924e16549. [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): 0.7367. Result ID: 69fdbd2a47f34ce924e16599. [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): 0.7481. Result ID: 69fdbd2a47f34ce924e16545. [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): 0.7892. Result ID: 69fdbd2a47f34ce924e16544. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.7994. Result ID: 69fdbd2a47f34ce924e16595. [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): 0.819. Result ID: 69fdbd2a47f34ce924e16546. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Model A","Kernel":"Uniform"}. This record does not assert independent reproduction. ### Baseline MSE (τ=0.05): 0.8292. Result ID: 69fdbd2a47f34ce924e16594. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.8892. Result ID: 69fdbd2a47f34ce924e16596. [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): 0.9192. Result ID: 69fdbd2a47f34ce924e16597. [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. This is an index page, not the full collection.