What does cross-validation mean in AI?

What does cross-validation mean in AI?

  1. a) The process of validating the results of a neural network
  2. b) The process of training a model on multiple datasets
  3. c) The process of splitting data into training and testing sets
  4. d) The technique for evaluating model performance using multiple subsets of data

From the Combined Bank Officer (IT) October 2024 – Preliminary (BIBM) exam, question 55 of 95.

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