What does cross-validation mean in AI?
- A.The process of validating the results of a neural network
- B.The process of training a model on multiple datasets
- C.The process of splitting data into training and testing sets
- D.The technique for evaluating model performance using multiple subsets of data
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Answer: D. The technique for evaluating model performance using multiple subsets of data
Cross-validation splits data into subsets/folds to evaluate model performance iteratively.