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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Model generated on a segment of the original data set. Compared to the model generated from the whole data set, it may show completely different contributions of the explanatory variables.
Key Concepts: A sub-model is a component of the SAP Predictive Analytics (BI-RA-PA) software. It is a predictive model that is used to analyze data and make predictions about future outcomes. Sub-models are used to identify patterns in data and make predictions about future events. How to use it: Sub-models can be used to analyze data and make predictions about future outcomes. To use a sub-model, you must first define the parameters of the model, such as the type of data to be analyzed, the type of prediction to be made, and the desired accuracy of the prediction. Once these parameters are defined, the sub-model can be used to analyze the data and make predictions. Tips & Tricks: When using a sub-model, it is important to ensure that the parameters are set correctly. This will ensure that the model is able to accurately analyze the data and make accurate predictions. Additionally, it is important to regularly review and update the parameters of the model as new data becomes available. Related Information: Sub-models are part of a larger predictive analytics system known as SAP Predictive Analytics (BI-RA-PA). This system allows users to create predictive models that can be used to analyze data and make predictions about future outcomes. Additionally, SAP Predictive Analytics provides tools for visualizing and interpreting data, as well as for creating reports and dashboards.