Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
predicted_probabilities_test = logistic.cdf(np.dot(X_test_with_intercept, estimated_theta)) predicted_labels_test = (predicted_probabilities_test >= 0.5).astype(int) # Print accuracy on the test set accuracy = np.mean(predicted_labels_test == y_test) print("Accuracy on the test set:", accuracy)