Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
make_classification(n_samples=100, n_features=1, n_informative=1, n_redundant=0, n_clusters_per_class=1) # Split the dataset into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) Lines 1–2: We import the make_classification and