1. A method for classification of data using a multi-stage stage classifier comprising: training a first stage classifier of the multi-stage classifier with an entire set of training data classifying each of instance of training data in the set of training by employing the first stage classifier; adding each instance of the training data that has been classified by the first stage classifier to have a classification value within a predefined threshold range into a set of second stage training data; and training a second stage classifier of the multi-stage classifier with the entire set of second stage training data; storing the multi-stage classifier on a computer readable storage medium.