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Cross-validation
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16.
Advantage of K-Fold Cross-Validation
easy
What is the main advantage of k-fold cross-validation over a single train/test split?
A
It automatically selects the optimal hyperparameters by averaging results across all folds
B
It eliminates overfitting by ensuring the model never sees the same sample twice during training
C
It removes the need for a separate test set since cross-validation provides an unbiased final estimate
D
It uses all data for both training and evaluation, producing a more reliable performance estimate
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