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AAISM · Question #76

Which of the following AI data management techniques involves creating validation and test data?

The correct answer is C. Splitting. Data splitting partitions a labeled dataset into training, validation, and test subsets to enable unbiased model tuning and evaluation. Training (A) consumes the training split; annotating (B) adds labels; learning (D) is a general term for model optimization, not a data manageme

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Question

Which of the following AI data management techniques involves creating validation and test data?

Options

  • ATraining
  • BAnnotating
  • CSplitting
  • DLearning

How the community answered

(27 responses)
  • B
    4% (1)
  • C
    93% (25)
  • D
    4% (1)

Explanation

Data splitting partitions a labeled dataset into training, validation, and test subsets to enable unbiased model tuning and evaluation. Training (A) consumes the training split; annotating (B) adds labels; learning (D) is a general term for model optimization, not a data management step.

Topics

#AI Data Management#Data Splitting#Validation Data#Test Data

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