Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
Mathematically, the negative log-likelihood in logistic regression can be written as follows: Let’s break down the equation to understand it better: θ: This is the vector of the parameters to be estimated. Xi​: These are the features corresponding to the ith observation. yi​: This is the class