# Feature Selection on JA with random extraneous features (Precision/Recall)

Source: [Feature Selection on JA with random extraneous features (Precision/Recall)](<https://www.sota2.com/research/sota/feature-selection-on-ja-with-random-extraneous-features-precision-recall>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:58:25.415Z

Evaluation of Feature Selection performance on the synthetic dataset 'JA with 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) | JA with 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](<https://www.sota2.com/research/sota/feature-selection-on-ja-with-random-extraneous-features-precision-recall.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/feature-selection-on-ja-with-random-extraneous-features-precision-recall.md?metric=Recall>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| XGBoost | 98.1 | Not recorded | 68fa71211e209131cea4f5bd |
| AM | 67.6 | Not recorded | 68fa71211e209131cea4f5bd |
| AGL | 66.5 | Not recorded | 68fa71211e209131cea4f5bd |
| Lasso | 66.1 | Not recorded | 68fa71211e209131cea4f5bd |
| RF | 66.1 | Not recorded | 68fa71211e209131cea4f5bd |
| Univariate | 64.8 | Not recorded | 68fa71211e209131cea4f5bd |
| 1L Lasso | 64.4 | Not recorded | 68fa71211e209131cea4f5bd |
| LassoNet | 64.4 | Not recorded | 68fa71211e209131cea4f5bd |
| Deep Lasso | 64.1 | Not recorded | 68fa71211e209131cea4f5bd |
| Lasso | 62.2 | Not recorded | 68fa71211e209131cea4f5bd |
| Deep Lasso | 57.6 | Not recorded | 68fa71211e209131cea4f5bd |
| XGBoost | 56.7 | Not recorded | 68fa71211e209131cea4f5bd |
| RF | 55.9 | Not recorded | 68fa71211e209131cea4f5bd |
| AGL | 54.1 | Not recorded | 68fa71211e209131cea4f5bd |
| Univariate | 53.7 | Not recorded | 68fa71211e209131cea4f5bd |
| 1L Lasso | 53.1 | Not recorded | 68fa71211e209131cea4f5bd |
| LassoNet | 41.5 | Not recorded | 68fa71211e209131cea4f5bd |

### XGBoost

Precision: 98.1. Result ID: 69919c4e3a6c3148490956c3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62821e209131ce9f9b56.md>)

[Implementation](<https://github.com/dmlc/xgboost>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### AM

Precision: 67.6. Result ID: 69919c4e3a6c3148490956c1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71071e209131cea4eb08.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### AGL

Precision: 66.5. Result ID: 69919c4e3a6c3148490956bf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa57751e209131ce9a5985.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### Lasso

Precision: 66.1. Result ID: 69919c4e3a6c3148490956bd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### RF

Precision: 66.1. Result ID: 69919c4e3a6c3148490956c2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### Univariate

Precision: 64.8. Result ID: 69919c4e3a6c3148490956bc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### 1L Lasso

Precision: 64.4. Result ID: 69919c4e3a6c3148490956be.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### LassoNet

Precision: 64.4. Result ID: 69919c4e3a6c3148490956c0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a2c1e209131cea269bf.md>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### Deep Lasso

Precision: 64.1. Result ID: 69919c4e3a6c3148490956c4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Implementation](<https://github.com/vcherepanova/tabular-feature-selection>)

Recorded evaluation configuration: {"% extraneous features":"50"}. This record does not assert independent reproduction.

### Lasso

Precision: 62.2. Result ID: 69919c4e3a6c3148490956c6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### Deep Lasso

Precision: 57.6. Result ID: 69919c4e3a6c3148490956cc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Implementation](<https://github.com/vcherepanova/tabular-feature-selection>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### XGBoost

Precision: 56.7. Result ID: 69919c4e3a6c3148490956cb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62821e209131ce9f9b56.md>)

[Implementation](<https://github.com/dmlc/xgboost>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### RF

Precision: 55.9. Result ID: 69919c4e3a6c3148490956ca.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### AGL

Precision: 54.1. Result ID: 69919c4e3a6c3148490956c8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa57751e209131ce9a5985.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### Univariate

Precision: 53.7. Result ID: 69919c4e3a6c3148490956c5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### 1L Lasso

Precision: 53.1. Result ID: 69919c4e3a6c3148490956c7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

### LassoNet

Precision: 41.5. Result ID: 69919c4e3a6c3148490956c9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71211e209131cea4f5bd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a2c1e209131cea269bf.md>)

Recorded evaluation configuration: {"% extraneous features":"75"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
