fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

Demo

Install

1. Installation through PyPi ^{_{⭐️ RECOMMENDED OPTION}}

   pip install fseval

2. Installation from source

   git clone https://github.com/dunnkers/fseval.git
   cd fseval
   pip install -r requirements.txt
   pip install .

You can now import fseval import fseval in your Python code, or use the fseval command in your terminal. For an example, run fseval --help. For more information, see the documentation link below ⌄.

Documentation

See the documentation.

About

Built at the University of Groningen and published in The Journal of Open Source Software (JOSS):

• https://joss.theoj.org/papers/10.21105/joss.04611

Project has some early roots in another project, which is a feature selection algorithm called FeatBoost (see full citation below).

A. Alsahaf, N. Petkov, V. Shenoy, G. Azzopardi, "A framework for feature selection through boosting", Expert Systems with Applications, Volume 187, 2022, 115895, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2021.115895.

The open source Python code of FeatBoost is available in https://github.com/amjams/FeatBoost.

---

2023 — Jeroen Overschie