Scoring new data

Once a model is developed, whether it is a single model or a combination of models, it must be applied to new data to make predictions. In data mining, the act of using a model on new data is called deployment. There are many options for deploying Modeler models. In these final demonstrations, we will focus on how to score new records. It is important to note that scoring is only part of the Deployment phase, as deployment can be quite complex and can even involve migrating your model to a different software platform.

For instance, the IBM product Collaboration and Deployment Services (C&DS) is such a platform. Cloud based deployment in environments such as Amazon Web Services (AWS) is also possible. It is quite common to ...

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