What is Model Validation?

Model validation is a process used to assess the accuracy, reliability, and usefulness of a model. It ensures that the model's outputs are reasonable and consistent with the intended application and underlying assumptions. It is commonly used in software development, data science, and machine learning to verify that the model correctly represents real-world processes and data patterns, thereby improving decision-making and reducing potential errors or biases.