# EpistasisLab/scikit-rebate

<https://repo.masters-masters.com/en/repos/EpistasisLab/scikit-rebate>

[Home](https://repo.masters-masters.com/en) › [EpistasisLab](https://repo.masters-masters.com/en/owners/EpistasisLab) › [scikit-rebate](https://repo.masters-masters.com/en/repos/EpistasisLab/scikit-rebate)

EpistasisLab/scikit-rebate has 421 stars on GitHub. Its RepoMasters card: Alpha tier. A scikit-learn-compatible Python implementation of ReBATE, a suite of…

| Field | Value |
| --- | --- |
| Owner | [EpistasisLab](https://repo.masters-masters.com/en/owners/EpistasisLab) |
| Stars | 421 |
| Forks | 72 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2016 |
| Topics | feature-selection, data-science, python |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [EpistasisLab/scikit-rebate](https://github.com/EpistasisLab/scikit-rebate) |

## Repository

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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