Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
logistic regression. The likelihood function models the probability of observing the given binary outcomes (0 or 1) given the input features. We will calculate the negative log-likelihood during optimization and minimize this function, which is equivalent to maximizing the likelihood.