# Quantile Regression on Scenario 1 n=10000 Source: [Quantile Regression on Scenario 1 n=10000]() Collection index: [llms.txt]() Data updated: 2026-05-08T10:38:44.122Z Evaluation of model performance for Quantile Regression on the Scenario 1 dataset with 10,000 samples, 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=10000 | | 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 | 0.0618 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0627 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0641 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0653 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.0661 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0678 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0689 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0769 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.0783 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0789 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.081 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0829 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.0974 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1062 | Not recorded | 69fd6e1f5497b3b670c894ba | | ConquerNet | 0.1294 | Not recorded | 69fd6e1f5497b3b670c894ba | | Baseline | 0.1691 | Not recorded | 69fd6e1f5497b3b670c894ba | ### Baseline MSE (τ=0.05): 0.0618. Result ID: 69fdbd2a47f34ce924e1658c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.0627. Result ID: 69fdbd2a47f34ce924e1653f. [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): 0.0641. Result ID: 69fdbd2a47f34ce924e1653d. [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): 0.0653. Result ID: 69fdbd2a47f34ce924e1658f. [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): 0.0661. Result ID: 69fdbd2a47f34ce924e1653c. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model A"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.0678. Result ID: 69fdbd2a47f34ce924e1658d. [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): 0.0689. Result ID: 69fdbd2a47f34ce924e1653e. [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): 0.0769. Result ID: 69fdbd2a47f34ce924e16542. [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): 0.0783. Result ID: 69fdbd2a47f34ce924e16540. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. ### ConquerNet MSE (τ=0.05): 0.0789. Result ID: 69fdbd2a47f34ce924e1658e. [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): 0.081. Result ID: 69fdbd2a47f34ce924e16543. [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): 0.0829. Result ID: 69fdbd2a47f34ce924e16541. [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): 0.0974. Result ID: 69fdbd2a47f34ce924e16592. [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): 0.1062. Result ID: 69fdbd2a47f34ce924e16591. [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): 0.1294. Result ID: 69fdbd2a47f34ce924e16593. [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): 0.1691. Result ID: 69fdbd2a47f34ce924e16590. [Reporting paper]() Recorded evaluation configuration: {"Model":"Model B"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.