Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
problem. Lines 9–11: We split X and y into training and test datasets using the train_test_split method. We use the training dataset to train the model and the test to evaluate the model’s performance. Calculating the likelihood function We will now calculate the negative log-likelihood for