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Classification performances of GA-EoC and other ensemble of classifiers on PubFig05 datasets.
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posted on 2016-01-28, 12:36 authored by Mohammad Nazmul Haque, Nasimul Noman, Regina Berretta, Pablo MoscatoThe classification performances of AdaBoostM1, Bagging, Random Forest and GA-EoC are compared in terms of Precision, Accuracy and F-Measure scores for (a) UAB datasets, (b) IAB datasets and (c) UEAB datasets.
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base classifiers decisionensemble constructioncandidate ensemblesbase classifiersHeterogeneous Ensemble CombinationClass Imbalanced Data Classification Classificationclassification performancemethodclass distributionimbalanced sample distributionsColumbia Universitymajority voting approachconstituent base classifiersbenchmarking datasetsGenetic AlgorithmPubFig databasetraining dataalgorithm
