thieu1995/mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
This project helps data scientists, machine learning engineers, and researchers simplify and improve their machine learning models. It takes your raw dataset, identifies the most impactful features, and outputs a refined dataset with only the most relevant information. By removing unnecessary data, it makes models more efficient and accurate for classification or regression tasks.
No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically select the best features from a large dataset to enhance the performance and reduce the complexity of your predictive models.
Not ideal if you're looking for a simple, manual feature engineering tool rather than an automated, metaheuristic-based selection process.
Stars
95
Forks
25
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 03, 2025
Commits (30d)
0
Dependencies
8
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