Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
3rd Edition
ISBN: 9781118729274
Author: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Publisher: WILEY
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Chapter 5, Problem 2P

a.

Explanation of Solution

Given: The data mining routine of the transaction dataset has the mechanism named ‘adjustable cutoff mechanism’ for altering or regulating the proportion of fraudulent records.

To find: The effect of cutoff mechanism on the classification error rate for truly fraudulent records by moving the cutoff up or down...

b.

Explanation of Solution

Given: The data mining routine of the transaction dataset has the mechanism named ‘adjustable cutoff mechanism’ for altering or regulating the proportion of fraudulent records.

To find: The effect of cutoff mechanism on the classification error rate for truly non-fraudulent records by moving the cutoff up or down...

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Chapter 5 Solutions

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

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