Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization
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Updated
Aug 6, 2023 - Python
Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization
Research project utilizing multiple regression to model wOBA for minor league batters
Dive into feature selection and classification with this Python repository, utilizing a genetic algorithm and various classifiers on a breast cancer dataset. Achieving high accuracy levels, SVM and ANN stand out with 97.37%. Ideal for machine learning enthusiasts and those interested in cancer diagnostics.
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