Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
train_test_split methods. Lines 5–6: We create a synthetic dataset with the feature X and the target y using the make_classification function. The dataset consists of n_samples=100 the samples, n_features=1 feature, and the n_informative=1 informative feature, resulting in a binary classification