I have a classification problem which consists of two classes. It has high class imbalance. There are around 85% data points for the negative class and only 15% for the positive class.
One option is upsampling but I would also like to try using priors/weights/costs of the classifiers.
How should the priors, weights or costs be chosen (or the range to search)?
