Machine Learning, Overfitting, Regularization, Artificial Intelligence, Data Science.
the training set but also for the testing set. This indicates good generalization capability since the testing set represents unseen data that were not used for training. However, this approach would require a sufficiently large dataset to train on even after splitting. 2. Cross-validation (data)