Test

Sat, 18 Jul 2026 09:37:05 +0000

Definition

The test set is a portion of data held out during the training process to evaluate the final model’s generalization capability. Unlike validation sets used for hyperparameter tuning, the test set provides an unbiased estimate of model performance on new, real-world data. Proper testing ensures that the model has not overfit to the training data and can reliably perform its intended task in production environments.

Summary

Test refers to the evaluation phase where a trained AI model is assessed on unseen data to measure performance.

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Test

Definition

Summary