Introduction: The Importance of Robust Model Evaluation In the high-stakes world of machine learning, building a model that performs well on training data is only half the battle. The true test lies in its ability to generalize to unseen data. This is where cross-validation and robust model evaluation metrics become indispensable. Without them, we risk
