+**Model Evaluation** is the essential process of assessing a [Machine Learning](/wiki/machine_learning) model's performance. It measures how effectively a model generalizes to new, unseen [Data](/wiki/data), revealing its true capabilities beyond training. This step ensures reliability and guides future model refinement.
+## See also
+- [Metrics](/wiki/metrics)
+- [Overfitting](/wiki/overfitting)
+- [Validation](/wiki/validation)
... 1 more lines