Introduction to Cross-Validation In the world of machine learning and data science, building a model that performs well on unseen data is paramount. This predictive power is the ultimate goal, distinguishing a useful model from a mere statistical exercise. This is where cross-validation emerges as a critical technique. Cross-validation provides a robust framework for evaluating
