Logistic Regression, Machine Learning, Hypothesis, Sigmoid Function.
some number, I am going to treat that number as the estimated probability that Y is equal to one on a new input example X. Here is what I mean. Here is an example. Let’s say we’re using the tumor classification example. So we may have a feature vector X, which is this x01 as always and then our one