GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
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To enhance classification performances, we propose an ensemble of classifiers that combine the classification outputs of base classifiers using the simplest and largely used majority voting approach.
Instead of creating the ensemble using all base classifiers, we have implemented a genetic algorithm (GA) to search for the best combination from heterogeneous base classifiers.
The classification performances achieved by the proposed method method on the chosen datasets are promising.