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Handbook of Statistical Analysis and Data Mining Applications
book

Handbook of Statistical Analysis and Data Mining Applications

by Robert Nisbet, John Elder, Gary Miner
May 2009
Beginner to intermediate content levelBeginner to intermediate
864 pages
23h 13m
English
Elsevier Science
Content preview from Handbook of Statistical Analysis and Data Mining Applications
Chapter 13

Model Evaluation and Enhancement

OUTLINE

Preamble

One of the most common questions asked by beginning data miners is “How do I know when my model is any good?” This chapter will introduce you to a number of model metrics that you can use to measure the “goodness” of your model. But this process of modeling and evaluation is not a linear process; it is iterative. It is very rare that the best model will be trained initially. Often, the evaluation process will point out some issues that can be resolved by making some changes ...

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Publisher Resources

ISBN: 9780080912035