mafese (pypi): MAFESE: Metaheuristic Algorithm for Feature Selection - An Open Source Python Library
Keywords: engineering optimization problems|mathematical optimization|feature selection|classification problem|feature selector|dimensionality reduction|subset selection|wrapper methods|embedded methods|mutual information|correlation-based feature selection|recursive feature selection|principal component analysis|PCA|lasso regularization|ridge regularization|Genetic algorithm (GA)|Particle swarm optimization (PSO)|Ant colony optimization (ACO)|Differential evolution (DE)|Simulated annealing|Grey wolf optimizer (GWO)|Whale Optimization Algorithm (WOA)|confusion matrix|recall|precision|accuracy|K-Nearest Neighbors|random forest|support vector machine|pearson correlation coefficient (PCC)|spearman correlation coefficient (SCC)|relief|multi-objectives optimization problems|Stochastic optimization|Global optimization|Convergence analysis|Search space exploration|Local search|Computational intelligence|Robust optimization|Performance analysis|Intelligent optimization|Simulations|correlation-based-feature-selection|decision-tree-classifier|dimensionality-reduction|feature-extraction|feature-selection|harris-hawks-optimization|knn-classifier|machine-learning|mealpy|mutual-information|nature-inspired-evolutionary|optimization|pearson-correlation-coefficient|recursive-feature-selection|subset-selection|svm-classifier|swarm-based-computing|whale-optimization-algorithm|wrapper-methods