What is the name of the final stage when creating a predictive model?

The correct answer is Model Deployment. After building a predictive model, the model needs to be implemented into a production environment where it can start making predictions based on new incoming data. This final stage involves integrating the model with business processes and ensuring it operates effectively within the existing systems.

In the context of predictive modeling, deployment encompasses all necessary actions to put the model into use, which may include testing, validation, and configuration within the application. It marks the transition from development to active usage, allowing organizations to leverage insights derived from the model.

Other terms like Model Assessment refer to the evaluation of the model’s performance and accuracy before it is deployed, while Model Export suggests the technical task of transferring the model artifacts into a different environment or format, which is a step that typically precedes deployment. Model Conclusion is not a recognized term in the predictive modeling process, making it unrelated to the goal of utilizing the model in a practical scenario.