We have a small percentage of positive examples relative to the total number of training examples.
in order to ensure that positive points are not considered as being noisy labels, we change the penalty of the minority (positive) class by setting the parameter C + of this class to: where n + is the number of positive training examples, n is the total number of training examples and λ is the scaling factor.