What is the main criteria for separating training and test data when training a machine learning system?

Question

Options

• ATest data should be as random as possible, so that it tests the boundaries of the system.
• BTraining data should be random, but the test data should be created by a subject matter expert.
• CTraining data should be random as possible, in order to create a robust model.
• DThe data set should be representative and randomly split in to a training set and a test set so that they do not overlap.

• A
  6% (1)
• C
  82% (14)
• D
  12% (2)

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