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Many problems in the real world are, in general modeled as binary classification problems and often one class samples outnumber other class samples. This imbalance causes the reduction in accuracy of prediction in minority class samples but give overall high accuracy. Ignoring misclassification rate of minority class causes severe problems in many cases such as fraudulent credit card transactions,...