Predictive performance evaluates how accurately a model forecasts outcomes on unseen data, serving as a critical metric for assessing the model's utility and reliability in practical applications. It encompasses various metrics and techniques to ensure that a model generalizes well beyond the training dataset, thus guiding improvements and ensuring robustness.