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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare

2025-04-21

Abstract excerpt

This study systematically explores Recursive Feature Elimination (RFE) and its variants as effective methods for feature selection within educational data mining (EDM) and healthcare analytics. Feature selection is crucial in predictive modeling due to challenges arising from high dimensionality and data complexity. The paper first reviews foundational principles of the RFE algorithm, highlighting its iterative me...

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Literature Corpus work
324e46bd-0484-5614-8434-576801f99980
DOI
10.20944/preprints202504.1725.v1
Open publication

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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and HealthcareDOI 10.20944/preprints202504.1725.v1
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