JingweiToo/Equilibrium-Optimizer-for-Feature-Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.
This tool helps data scientists and machine learning engineers streamline their model building by identifying the most impactful variables in their datasets. You provide your raw data with features and corresponding labels, and it outputs a refined set of the most relevant features, reducing complexity and potentially improving model performance. It's designed for anyone working with predictive modeling who needs to simplify high-dimensional data.
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Use this if you have a dataset with many potential input variables and want to automatically find the most important ones to build a more efficient and accurate predictive model.
Not ideal if you need to understand the causal relationships between all variables, rather than simply selecting a subset for prediction, or if you prefer manual feature engineering.
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Language
MATLAB
License
BSD-3-Clause
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Last pushed
Jan 10, 2021
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