with regards to the Logistic Regression cost function of:

Logistic Regression Cost Function http://www.holehouse.org/mlclass/06_Logistic_Regression_files/Image%20%5B16%5D.png

And hypothesis:

Hypothesis http://www.holehouse.org/mlclass/06_Logistic_Regression_files/Image%20%5B17%5D.png

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

with regards to the Logistic Regression cost function of:

And hypothesis:

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