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. O True False

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. O True False

Np Ms Office 365/Excel 2016 I Ntermed

1st Edition

ISBN:9781337508841

Author:Carey

Publisher:Carey

Chapter3: Performing Calculations With Formulas And Functions

Section3.1: Formulas And Functions

Problem 8QC

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