JingweiToo/Ant-Colony-Optimization-for-Feature-Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.
This tool helps data scientists and machine learning engineers identify the most relevant variables or 'features' in a dataset for building predictive models. You input your dataset's features and corresponding labels, along with some optimization parameters, and it outputs a reduced set of the most impactful features, their indices, and a convergence curve. It's designed for practitioners who need to simplify their models and improve performance by selecting an optimal subset of features.
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Use this if you are working with a dataset that has many features and you need an automated way to select the best ones without predetermining how many to keep.
Not ideal if you prefer to manually select features or if you are not familiar with Ant Colony Optimization concepts.
Stars
10
Forks
2
Language
MATLAB
License
BSD-3-Clause
Category
Last pushed
Jan 10, 2021
Commits (30d)
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