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Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification., , and . Genet. Program. Evolvable Mach., 16 (3): 241-281 (2015)A grammatical evolution approach for software effort estimation., , , , and . GECCO, page 1413-1420. ACM, (2013)Evolutionary model tree induction., , , , and . SAC, page 1131-1137. ACM, (2010)Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm., , , and . J. Braz. Comput. Soc., 18 (4): 351-362 (2012)An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)., , , , , , and . CoRR, (2020)Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic., , and . SAC, page 110-117. ACM, (2015)Automatic Design of Evolutionary Algorithms Based on Entropy Triggers., , and . CEC, page 1-8. IEEE, (2018)A clustering-based decision tree induction algorithm., , , and . ISDA, page 543-550. IEEE, (2011)Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning., , , , and . TrustCom/BigDataSE/ICESS, page 933-940. IEEE Computer Society, (2017)Extracting Rules for Black Jack Using Machine Learning and Fuzzy Systems., , and . FUZZ-IEEE, page 1-6. IEEE, (2018)