Final answer:
The deployment phase of the CRISP-DM methodology includes providing reports, implementing the predictive model in an app, generating web services for prediction, and documenting data requirements for future model evaluation.
Step-by-step explanation:
The deployment phase of the CRISP-DM methodology can include a variety of activities to operationalize the model developed during the earlier phases of the project. Specifically, it includes:
- Providing reports to management or other decision-makers.
- Implementing the predictive model within a machine learning application environment.
- Generating a web service to utilize the prediction.
- Documenting data requirements for future re-evaluation of the model.
In essence, the deployment phase is about delivering the model's insights and ensuring that the model can be effectively used and maintained moving forward.