Criteria for validating assessment tools
A data mining model is reliable if it generates the same type of predictions or finds the same general kinds of patterns regardless of the test data that is supplied.
For example, the model that you generate for the store that used the wrong accounting method would not generalize well to other stores, and therefore would not be reliable.
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When selecting the Display history check box a set of tables will appear displaying a log of historical values describing what has changed and when over time.
For an overview of how model validation fits into the larger data mining process, see Data Mining Solutions.
All of these methods are useful in data mining methodology and are used iteratively as you create, test, and refine models to answer a specific problem.
Good modern personal development and evaluation extend beyond the obvious skills and knowledge required for the job or organisation or qualification.
The introduction also explains that for training evaluation to be truly effective, the training and development itself must be appropriate for the person and the situation.
This unit typically applies to those participating in assessment validation. Where bold italicised text is used, further information is detailed in the required skills and knowledge section and the range statement.