Machine Learning, Data Science, Data, Computer Science, Artificial Intelligence.
order to get our discrete 0 or 1 classification, we can translate the output of the hypothesis function as follows: Decision Boundary The decision boundary is the line that separates the area where y = 0 and where y = 1. Given the exponential nature of the sigmoid function, if it is given an input