with regards to the Logistic Regression cost function of:
Is there a way to tell the +/- of the error for how "confident" the hypothesis is?
E.g. if the +/- of the error was 0.1, I would know that if my hypothesis predicted 0.4 it could be 0.1 greater (0.5) or 0.1 less (0.3)
This is for binary classification