IBM
C1000-012 · Question #85
C1000-012 Question #85: Real Exam Question with Answer & Explanation
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Question
What is the main criteria for separating training and test data when training a machine learning system?
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.
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