Preprocessing unbalanced data using support vector machine

►Support vector machine (SVM) acts as a preprocessor for unbalanced data. ►SVM generates extra data related to minority class. ►The modified training data is used to train multiple classification techniques. ►The hybrid approach performs well in terms of sensitivity.