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An Optimized Classification Based on Associations Framework Integrating Utility-Driven Pruning and Genetic Algorithm for Enhanced Interpretability and Predictive Performance

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>Associative Classification has emerged as an effective and successful data mining approach for constructing interpretable predictive models by integrating classification and association rule mining. Nevertheless, traditional Classification Based on Associations (CBA) approaches are known to generate a large number of overfitting and redundant rules that lead to increased model complexit...

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Literature Corpus work
5c3ac14f-e8eb-5552-ad24-0ed99b8e6551
DOI
10.21203/rs.3.rs-9909713/v1
Open publication

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An Optimized Classification Based on Associations Framework Integrating Utility-Driven Pruning and Genetic Algorithm for Enhanced Interpretability and Predictive PerformanceDOI 10.21203/rs.3.rs-9909713/v1
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