A model that you trained using historic data from a source can now be applied to a different set of data. By doing so, a prediction is made for the model field that you selected as the prediction variable. You can execute the prediction process for the data mining methods decision tree, clustering and regression analysis. For clustering, the prediction output would be the best three clusters. The predicted output, in case of a decision tree, is the best three predicted classes and the corresponding probability of the prediction. For the scoring method, regression analysis, the predicted output is the score.
You cannot execute a prediction for association analysis because training is already the result of this data mining method. You can export the association rules determined in training to SAP CRM (see the sectionAssociation Analysis).
To create an analysis process for prediction:
For more details, seeTransformations for an Analysis Process.
The prediction result is determined by the system and then displayed in graphic form.
You can load the determined values into the master data in SAP NetWeaver BW (seeLoading Mining Results into SAP NetWeaver BW)