# scikit-learn-contrib/boruta\_py

<https://repo.masters-masters.com/en/repos/scikit-learn-contrib/boruta_py>

[Home](https://repo.masters-masters.com/en) › [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) › [boruta\_py](https://repo.masters-masters.com/en/repos/scikit-learn-contrib/boruta_py)

scikit-learn-contrib/boruta\_py has 1,635 stars on GitHub. Its RepoMasters card: Beta tier. Python implementations of the Boruta all-relevant feature selection…

| Field | Value |
| --- | --- |
| Owner | [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) |
| Stars | 1,635 |
| Forks | 264 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2016 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [scikit-learn-contrib/boruta\_py](https://github.com/scikit-learn-contrib/boruta_py) |

## Repository

Python implementations of the Boruta all-relevant feature selection method.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.