May 2009
Beginner to intermediate
864 pages
23h 13m
English
OUTLINE
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 ...