TorkamaniLab/zoish
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly
This tool helps data scientists and machine learning practitioners quickly build and understand predictive models. You input your raw dataset and a machine learning model, and it outputs a more robust model that focuses on the most important data points, along with clear visual explanations of why those features matter. This is for anyone building classification or regression models who needs to identify key drivers and improve model clarity.
No commits in the last 6 months. Available on PyPI.
Use this if you need to simplify complex machine learning models, select the most relevant features from your data, and clearly explain how your model makes its predictions.
Not ideal if you are working with extremely small datasets where feature selection might not offer significant benefits or if you primarily need to deploy pre-trained models without further analysis.
Stars
11
Forks
1
Language
Python
License
BSD-2-Clause
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
Dependencies
22
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