Cross-validation technique will provide accurate results when the training set and the testing set are from two different populations. true / false
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The answer to the question is true. As the name suggests that it is a cross-validation, as because it is validated once again, which shall check for any further errors that may have occurred. So cross-validation shall provide the accurate results when the training set and the testing set are from two different populations.
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