Validating the as is process model

For an overview of how model validation fits into the larger data mining process, see Data Mining Solutions.

There are many approaches for assessing the quality and characteristics of a data mining model.

includes various metrics that tell you whether the model provides useful information.

The result of these tests will not indicate whether or not the framework is valid but it will show whether or not it is a useable tool.

To find out if the framework is doing what is intended, it is necessary to state the expectation.

If a process model does not pass validation, you can save it, but you can not publish it.

Process models need to pass validation and be published before users can execute them in an application.