Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.
benchmarkingmachine-learningresearchgenetic-algorithmscikit-learncross-validationregressionfeature-selectionclassificationdifferential-evolutionreproducibilityoptimisationmetaheuristicsfilter-methodswrapper-methods
-
Updated
Mar 24, 2026 - Python