BWhat changed
Represents general-purpose preprocessing, feature selection and classifier combinations as trees, and uses genetic programming with a complexity-aware Pareto variant to optimize pipelines.
Scientific scope
Represents general-purpose preprocessing, feature selection and classifier combinations as trees, and uses genetic programming with a complexity-aware Pareto variant to optimize pipelines. This software-only record does not curate its application-domain studies. The original repeatedly uses a split called the testing set as search fitness; those search-selected scores are not automatically independent held-out generalization evidence. Genetic programming, NSGA-II and scikit-learn operators are inherited.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This software-only record does not curate its application-domain studies. The original repeatedly uses a split called the testing set as search fitness; those search-selected scores are not automatically independent held-out generalization evidence. Genetic programming, NSGA-II and scikit-learn operators are inherited.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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