Model Validation

Model validation is the process of evaluating whether a statistical or machine learning model performs reliably and accurately on new or unseen data. It often involves cross validation, performance metrics, error analysis, and robustness checks. RTI performs model validation to ensure that predictive models are trustworthy and appropriate for real-world use.