Feature selection is one of a key success factor for classification problem in high dimensional datasets. This process aims to select the discriminative subsets of features in order to enhance the classification performance ...

Different machine learning classifiers work well only when the training data is balanced. That is, when the number of positive examples is similar to the number of negative examples. If the training data is not balanced, ...