Model Validation for AI Applications: Accuracy, Cross-Validation & Reliability
What Is Model Validation? Model validation is the process of evaluating how well a machine learning model performs on unseen, real-world data. It's not about training accuracy — it's about testing how well the model generalizes beyond what it has seen before. This involves: While training helps the model “learn,” validation ensures it “works” — […]








