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The file P14_11.xlsx contains data on 178 wines. They are categorized into three types, labeled A, B, and C. The rest of the variables are numeric properties of the wines. Use Neural Tools to classify these wines. Use the PNN algorithm, and check the Variable Impact Analysis option in the Train dialog box. This ranks the variables on their impact, which provides some information on which variables might not be needed for the neural net. Then run the algorithm a second time, using only the top five variables in terms of their impact percentages. (In the Data Set Manager, mark the others Unused.) Comment on the results. Is the prediction accuracy much different without the deleted variables?

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Practical Management Science

6th Edition
WINSTON + 1 other
Publisher: Cengage,
ISBN: 9781337406659
BuyFindarrow_forward

Practical Management Science

6th Edition
WINSTON + 1 other
Publisher: Cengage,
ISBN: 9781337406659

Solutions

Chapter
Section
Chapter 14.2, Problem 11P
Textbook Problem
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The file P14_11.xlsx contains data on 178 wines. They are categorized into three types, labeled A, B, and C. The rest of the variables are numeric properties of the wines. Use Neural Tools to classify these wines. Use the PNN algorithm, and check the Variable Impact Analysis option in the Train dialog box. This ranks the variables on their impact, which provides some information on which variables might not be needed for the neural net. Then run the algorithm a second time, using only the top five variables in terms of their impact percentages. (In the Data Set Manager, mark the others Unused.) Comment on the results. Is the prediction accuracy much different without the deleted variables?

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Expert Solution
Summary Introduction

To perform: Classification using NeuralTools and run the algorithm for second time using only the top five variables.

Introduction: Simulation model is the digital prototype of the physical model that helps to forecast the performance of the system or model in the real world.

Explanation of Solution

NeuralTools parameter:

Click test in the NeuralTools tab to get the below dialog box:

Output:

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