# Feature Selection on MI with random extraneous features (Precision, Recall)

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

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

Data updated: 2026-02-26T05:58:25.432Z

Evaluation of Feature Selection performance on the synthetic dataset 'MI 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) | MI with random extraneous features |
| Metric | Precision |
| Unit | SCALAR |
| 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-mi-with-random-extraneous-features-precision-recall.md?metric=Precision>): Higher is better; unit: SCALAR.

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

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| XGBoost | 0.993 | Not recorded | 68fa71211e209131cea4f5bd |
| Univariate | 0.987 | Not recorded | 68fa71211e209131cea4f5bd |
| Univariate | 0.986 | Not recorded | 68fa71211e209131cea4f5bd |
| XGBoost | 0.956 | Not recorded | 68fa71211e209131cea4f5bd |
| Deep Lasso | 0.95 | Not recorded | 68fa71211e209131cea4f5bd |
| Deep Lasso | 0.946 | Not recorded | 68fa71211e209131cea4f5bd |
| 1L Lasso | 0.882 | Not recorded | 68fa71211e209131cea4f5bd |
| AGL | 0.87 | Not recorded | 68fa71211e209131cea4f5bd |
| AGL | 0.775 | Not recorded | 68fa71211e209131cea4f5bd |
| 1L Lasso | 0.721 | Not recorded | 68fa71211e209131cea4f5bd |
| RF | 0.664 | Not recorded | 68fa71211e209131cea4f5bd |
| AM | 0.646 | Not recorded | 68fa71211e209131cea4f5bd |
| Lasso | 0.588 | Not recorded | 68fa71211e209131cea4f5bd |
| LassoNet | 0.582 | Not recorded | 68fa71211e209131cea4f5bd |
| RF | 0.553 | Not recorded | 68fa71211e209131cea4f5bd |
| Lasso | 0.401 | Not recorded | 68fa71211e209131cea4f5bd |
| LassoNet | 0.331 | Not recorded | 68fa71211e209131cea4f5bd |

### XGBoost

Precision: 0.993. Result ID: 69919c4e3a6c3148490956dc.

[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.

### Univariate

Precision: 0.987. Result ID: 69919c4e3a6c3148490956d6.

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

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

### Univariate

Precision: 0.986. Result ID: 69919c4e3a6c3148490956cd.

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

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

### XGBoost

Precision: 0.956. Result ID: 69919c4e3a6c3148490956d4.

[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.

### Deep Lasso

Precision: 0.95. Result ID: 69919c4e3a6c3148490956d5.

[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.

### Deep Lasso

Precision: 0.946. Result ID: 69919c4e3a6c3148490956dd.

[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.

### 1L Lasso

Precision: 0.882. Result ID: 69919c4e3a6c3148490956cf.

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

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

### AGL

Precision: 0.87. Result ID: 69919c4e3a6c3148490956d0.

[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.

### AGL

Precision: 0.775. Result ID: 69919c4e3a6c3148490956d9.

[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.

### 1L Lasso

Precision: 0.721. Result ID: 69919c4e3a6c3148490956d8.

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

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

### RF

Precision: 0.664. Result ID: 69919c4e3a6c3148490956db.

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

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

### AM

Precision: 0.646. Result ID: 69919c4e3a6c3148490956d2.

[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.

### Lasso

Precision: 0.588. Result ID: 69919c4e3a6c3148490956ce.

[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: 0.582. Result ID: 69919c4e3a6c3148490956d1.

[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.

### RF

Precision: 0.553. Result ID: 69919c4e3a6c3148490956d3.

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

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

### Lasso

Precision: 0.401. Result ID: 69919c4e3a6c3148490956d7.

[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: 0.331. Result ID: 69919c4e3a6c3148490956da.

[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.

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