Machine Learning, Logistic Regression, Non Linear.
negate the sign in each case as we want to maximize the likelihood. Finally we solve for c starting with a small initial guess close to 0. 4. Results We look at the polynomial and the other generic case separately. 4.1 f(x,y; c) = c_0 + c_1 x + c_2 y + c_3 x² + c_4 x y + c_5 y² We get an ellipse as