Machine Learning, Logistic Regression, Non Linear.
Equation 2. f is the functional form for log(odds ratio) then f(x,y; c) =0 would be the decision boundary. c are the m parameters in the function f. And log-likelihood in terms of f would be: Equation 3. Log-likelihood in terms of the data and parameters c. Ready to be maximized for the correct c