Logistic Regression, Machine Learning, Hypothesis, Sigmoid Function.
is equals to one, given x instead of given that my patient has, you know, features X. Given my patient has a particular tumor size represented by my features X, and this probability is parametrized by theta. So I’m basically going to count on my hypothesis to give me estimates of the probability