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In a regression machine learning algorithm, how are features and labels handled in a validation dataset?1. Features are compared to the feature values in a training dataset.2. Features are used to generate predictions for the label, which is compared to the actual label values.This answer is correct.3. Labels are compared to the label values in a training dataset.4. The label is used to generate predictions for features, which are compared to the actual feature values.
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