JingweiToo/Salp-Swarm-Algorithm-for-Feature-Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
This tool helps data scientists and machine learning practitioners streamline the process of preparing datasets for model training. By applying the Salp Swarm Algorithm, it intelligently identifies and selects the most relevant features from your raw data and corresponding labels. The output is a refined set of features, reducing complexity and potentially improving model performance.
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Use this if you are a data scientist or machine learning engineer looking to reduce the dimensionality of your datasets by selecting optimal features before training a predictive model.
Not ideal if you prefer not to use MATLAB or need a feature selection method other than the Salp Swarm Algorithm.
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Language
MATLAB
License
BSD-3-Clause
Category
Last pushed
Jan 10, 2021
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