An optimized stacking ensemble framework that integrates Decision Tree, Random Forest, Naïve Bayes, XGBoost, and Artificial Neural Network classifiers, with an ANN serving as the meta-learner is proposed, demonstrating that combining heterogeneous classifiers, feature selection, class balancing, and evolutionary optimi...
Chris Chinaka, O. Nwokonkwo, A. John-Otumu et al.· Machine Learning Research· 0 citations
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