The quality of a classification model is affected by two factors in a training data set: (1) the presence of excessive features and (2) the presence of imbalanced distributions between two classes in ...

Iterative function selection techniques are a sort of system mastering technique used for classifying records with capabilities having high non-linearity. Specially, this approach has been implemented ...