Predictive performance refers to the ability of a model or algorithm to accurately predict future outcomes based on historical data. In research, predictive performance is often used to evaluate the effectiveness of predictive models in various fields such as finance, healthcare, and marketing. This evaluation involves measuring the accuracy, precision, recall, and other metrics to determine how well a model can predict future events. Researchers use predictive performance as a key indicator of the overall reliability and effectiveness of their predictive models.