kaushalshetty/FeatureSelectionGA
Feature Selection using Genetic Algorithm (DEAP Framework)
This tool helps data scientists and machine learning practitioners choose the most impactful features from large datasets. You input your raw dataset and a machine learning model, and it outputs an optimized subset of features that should lead to better model accuracy and efficiency. It's designed for anyone building predictive models who struggles with too many input variables.
377 stars. No commits in the last 6 months.
Use this if you are a data scientist working with a dataset that has many features and you want to automatically find the best subset of those features to improve your model's performance.
Not ideal if you are working with very small datasets or if you prefer to manually select features based on domain expertise rather than an automated search.
Stars
377
Forks
93
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2023
Commits (30d)
0
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