Model Testing And Deployment

Deployment is the process of integrating a machine learning model into an existing production environment in order to make data-driven business decisions.

Model testing is a term used in machine learning to describe the process of evaluating the performance of a fully trained model on a testing set. The target value is known for each testing sample.