Cross-Validation

Validation technique that assesses how well a model will generalize to new, unseen data by testing it on different data subsets. This method helps prevent overfitting and ensures reliable model performance. Like testing a recipe with different ingredients to ensure it works consistently, cross-validation evaluates model reliability across various data combinations.