Evaluation

At this stage in the project you have built a model (or models) that appears to be of high quality, from a data analysis perspective. Before proceeding to final deployment of the model, it is important to more thoroughly evaluate the model—to be certain it properly achieves the business objectives.

Evaluation is frequently confused with model assessment—the last task of the Modeling phase. Assess model is all about the data analysis perspective and includes metrics such as model accuracy. The authors of CRISP-DM considered calling this phase business evaluation because it has to be conducted in the language of the business and using the metrics of the business as indicators of success. Given the nature of this book, and its emphasis on the point and click operation of Modeler, there will be virtually no opportunity to practice this phase, but in real world projects it is a critical phase.

The three tasks in this phase are:

• Evaluate results
• Review process
• Determine next steps