Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
gives us the probability of a point belonging to class 1, we can replace p(X) with σ(d), and since d = W.X, we can replace σ(d) with σ(W.X). Taking natural logarithms on both sides we get: log-odds for logistic regression Hence, we get: log-odds equation The above equation is popularly known as the