Abstract:The last decade has seen an increase in the attention paid to the development of cost‐sensitive learning algorithms that aim to minimize misclassification costs while still maintaining accuracy. Most of this attention has been on cost‐sensitive decision tree learning, whereas relatively little attention has been paid to assess if it is possible to develop better cost‐sensitive classifiers based on Bayesian networks. Hence, this paper presents EBNO, an algorithm that utilizes Genetic algorithms to learn cost‐se… Show more
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