Machine Learning & Training

What Is Model Evaluation?

Model evaluation is the process of measuring how well a trained model performs, typically on data it has not seen during training. It uses metrics appropriate to the task, such as accuracy, F1 score, or mean squared error. Proper evaluation helps ensure that a model will generalize to real-world data.