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

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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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
O False

Branch of computer science concerned with using technology to solve problems that typically require human intelligence.

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