# Feature Selection on AL random extraneous features (Precision/Recall) Source: [Feature Selection on AL random extraneous features (Precision/Recall)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:58:25.298Z Evaluation of Feature Selection performance on the synthetic dataset 'AL random extraneous features', measured using Precision and Recall. 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 | Feature Selection | | Dataset (including any stated split) | AL random extraneous features | | Metric | Precision | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 17 of 17 | | 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 - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision | Result date | Report paper | | --- | --- | --- | --- | | Univariate | 100 | Not recorded | 68fa71211e209131cea4f5bd | | LassoNet | 100 | Not recorded | 68fa71211e209131cea4f5bd | | Deep Lasso | 100 | Not recorded | 68fa71211e209131cea4f5bd | | Univariate | 100 | Not recorded | 68fa71211e209131cea4f5bd | | Lasso | 100 | Not recorded | 68fa71211e209131cea4f5bd | | LassoNet | 100 | Not recorded | 68fa71211e209131cea4f5bd | | Deep Lasso | 99 | Not recorded | 68fa71211e209131cea4f5bd | | Lasso | 98.7 | Not recorded | 68fa71211e209131cea4f5bd | | AGL | 94.6 | Not recorded | 68fa71211e209131cea4f5bd | | XGBoost | 94.5 | Not recorded | 68fa71211e209131cea4f5bd | | XGBoost | 93.8 | Not recorded | 68fa71211e209131cea4f5bd | | RF | 91.8 | Not recorded | 68fa71211e209131cea4f5bd | | RF | 90.1 | Not recorded | 68fa71211e209131cea4f5bd | | 1L Lasso | 88.2 | Not recorded | 68fa71211e209131cea4f5bd | | AGL | 85.6 | Not recorded | 68fa71211e209131cea4f5bd | | 1L Lasso | 77.6 | Not recorded | 68fa71211e209131cea4f5bd | | AM | 76.8 | Not recorded | 68fa71211e209131cea4f5bd | ### Univariate Precision: 100. Result ID: 69919c4e3a6c314849095645. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### LassoNet Precision: 100. Result ID: 69919c4e3a6c314849095649. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### Deep Lasso Precision: 100. Result ID: 69919c4e3a6c31484909564d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### Univariate Precision: 100. Result ID: 69919c4e3a6c31484909564e. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### Lasso Precision: 100. Result ID: 69919c4e3a6c31484909564f. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### LassoNet Precision: 100. Result ID: 69919c4e3a6c314849095652. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### Deep Lasso Precision: 99. Result ID: 69919c4e3a6c314849095655. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### Lasso Precision: 98.7. Result ID: 69919c4e3a6c314849095646. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### AGL Precision: 94.6. Result ID: 69919c4e3a6c314849095648. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### XGBoost Precision: 94.5. Result ID: 69919c4e3a6c31484909564c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### XGBoost Precision: 93.8. Result ID: 69919c4e3a6c314849095654. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### RF Precision: 91.8. Result ID: 69919c4e3a6c314849095653. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### RF Precision: 90.1. Result ID: 69919c4e3a6c31484909564b. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### 1L Lasso Precision: 88.2. Result ID: 69919c4e3a6c314849095650. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### AGL Precision: 85.6. Result ID: 69919c4e3a6c314849095651. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction. ### 1L Lasso Precision: 77.6. Result ID: 69919c4e3a6c314849095647. [Reporting paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction. ### AM Precision: 76.8. Result ID: 69919c4e3a6c31484909564a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"% extraneous features":"50"}. 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