Question: When predicting wine quality ( bad vs . good quality wine ) , the prediction accuracy for the training data was 9 2 % and

When predicting wine quality (bad vs. good quality wine), the prediction accuracy for the training data was 92% and 85% for the testing data. The training data contained 75% of the original data, and 25% were used for the testing data.
True or False: When evaluating prediction accuracy, the testing data would be more representative as the data would be cases not used in the model fitting.
True
False
 When predicting wine quality (bad vs. good quality wine), the prediction

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