JingweiToo/Sine-Cosine-Algorithm-for-Feature-Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
This tool helps data scientists and machine learning practitioners simplify their datasets by identifying the most impactful variables for their models. You provide your dataset's features and corresponding labels, and it outputs a refined set of essential features, their indices, and a convergence curve. It's designed for anyone working with complex data who needs to improve model performance and reduce processing time.
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Use this if you have a dataset with many features and want to find the most relevant ones to improve your machine learning model's accuracy or efficiency.
Not ideal if you are looking for a feature selection method that isn't based on the Sine Cosine Algorithm or if you are not working within a MATLAB environment.
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10
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1
Language
MATLAB
License
BSD-3-Clause
Category
Last pushed
Jan 10, 2021
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