I have a binary classification model where I am predicting the positive class which is only 10% of whole training data set. The issue with this imbalanced data set is my model is predicting probability not more than 0.6 for the positive class. Why is it happening?
I know it is due to imbalanced data set and there are some answers which suggests how to deal with imbalanced data sets.
I have dealt with imbalanced data sets before and have never encountered such a case where probability for a class is not more than 0.6.