Machine Learning, Logistic Regression, Non Linear.
simply the product of the probability p(x_i, y_i) of obtaining each one of them separately. Equation 1. Define the likelihood & log-likelihood functions The ratio p/(1-p) (known as the odds ratio) would be unity along the decision boundary as p = 1-p = 0.5. If we define a function f(x,y; c) as: