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

See similar textbooks

Concept explainers

Enhanced ER Model

The enhanced ER model is an abbreviation for Enhanced Entity-Relationship (EER) model. As you know, the entity-relationship (ER) model is a pictorial illustration of the relationship between various entities of a domain. In the case of a large amount of …

Videos

Textbook Question

Chapter 5, Problem 4P

Consider Figure 5.16, the decile-wise lift chart for the transaction data model, applied to new data.

Chapter 5, Problem 4P, Consider Figure 5.16, the decile-wise lift chart for the transaction data model, applied to new

a. Interpret the meaning of the first and second bars from the left.

b. Explain how you might use this information in practise.

c. Another analyst comments that you could improve the accuracy of the model by classifying everything as nonfraudulent. If you do that, what is the error rate?

d. Comment on the usefulness, in this situation, of these two metrics of model performance (error rate and lift).

Expert Solution & Answer

Trending nowThis is a popular solution!

See solution

Check out sample textbook solution

Chapter 5, Problem 3P

Chapter 5, Problem 5P

Students have asked these similar questions

ER modeling is one approach in creating a data model. There are several approaches in creating a data model (bottom up, top down, inside out, and mix). 1. explain each of these approaches!2. Then explain when we use top down, bottom up, inside out and mix? what is the function of each of the approaches?

In what scenarios might a denormalized data model be preferred over a normalized one?

Consider Figure 5.12, the decile-wise lift chart for the transaction data model, applied to new data. Response 0 1 2 3 4 5 6 Mean GURE 5.12 1 2 3 4 5 6 7 8 9 10 Percentile DECILE-WISE LIFT CHART FOR TRANSACTION DATA a. Interpret the meaning of the first and second bars from the left. b. Explain how you might use this information in practice. c. Another analyst comments that you could improve the accuracy of the model by classifying everything as nonfraudulent. If you do that, what is the error rate? d. Comment on the usefulness, in this situation, of these two metrics of model per- formance (error rate and lift).

Chapter 5 Solutions

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

Ch. 5 - Prob. 1P Ch. 5 - Prob. 2P Ch. 5 - Prob. 3P Ch. 5 - Consider Figure 5.16, the decile-wise lift chart...Ch. 5 - Prob. 5P Ch. 5 - Prob. 6P Ch. 5 - Prob. 7P

Additional Engineering Textbook Solutions

Find more solutions based on key concepts

By doing this, you can hide a classs attribute from code outside the class. a. avoid using the self parameter t...

Starting Out with Python (4th Edition)

What does this program do?

C How to Program (8th Edition)

Write a program that prints the following text. 1. In C, lowercase letters are significant. 2. m is where progr...

Programming in C

Explain why the rapid delivery and deployment of new systems is often more important to businesses than the det...

Software Engineering (10th Edition)

Here is a code segment that reads input from infile.dat and sends output to outfile.dat. What changes are neces...

Problem Solving with C++ (10th Edition)

What characteristic of Rubys arithmetic operators makes them unique among those of other languages?

Concepts Of Programming Languages

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.