QuizMe

* השאלה נוספה בתאריך: 04-03-2024

		Nested cross-validation does not involve hyperparameter tuning.
		Nested cross-validation uses a single train-test split for model evaluation.
		Nested cross-validation incorporates an inner loop for hyperparameter tuning within each iteration of the outer loop.
		Nested cross-validation requires a larger dataset compared to traditional cross-validation.

How does nested cross-validation differ from traditional cross-validation techniques?