Prior Probability in Logistic Regression
Will Kurt
When you train a logistic model it learns the prior probability of the
target class from the ratio of positive to negative examples in the
training data. If the real world prior is not the same as your training
data, this can lead to unexpected predictions from your model. Read this
post to learn how to correct this even after the model has been trained!