Question: What does the iterative training and testing process in cross - validation help identify? Models that perform consistently well across different data samples The least

What does the iterative training and testing process in cross-validation help identify?
Models that perform consistently well across different data samples
The least computationally demanding models
Models that perform inconsistently across different datasets
Models that are overly complex
What does the iterative training and testing process in cross-validation help

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