I am using the LogisticRegression() method in scikit-learn on a highly unbalanced data set. I have even turned the class_weight feature to auto.
I know that in Logistic Regression it should be possible to know what is the threshold value for a particular pair of classes.
Is it possible to know what the threshold value is in each of the One-vs-All classes the LogisticRegression() method designs?
I did not find anything in the documentation page.
Does it by default apply the 0.5 value as threshold for all the classes regardless of the parameter values?