De Sá et al. [5] developed a customized classification algorithm that automatically generates the Bayesian network classifier to manage the class imbalance. Even though effective methods such as data level, algorithm level, hybrid and cost-sensitive learning is proposed by researchers to normalise the imbalanced
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