+Validation data is an independent dataset used to evaluate a machine learning model's performance during its training, guiding adjustments and preventing [Overfitting](/wiki/Overfitting). It helps ensure the model generalizes well to new, unseen information, distinct from the [Training Data](/wiki/Training_Data) it learns from, before final assessment on [Test Data](/wiki/Test_Data).
+## See also
+- [Model Tuning](/wiki/Model_Tuning)
+- [Cross-Validation](/wiki/Cross_Validation)
+- [Machine Learning](/wiki/Machine_Learning)
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