Do you have any question about this SAP term?
Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Model generated from the whole data set, without using segments.
Key Concepts: Overall model is a term used in SAP Predictive Analytics to refer to the combination of all the models used in a predictive analytics project. It is the result of combining multiple models, such as regression, decision trees, and neural networks, into one unified model. This overall model can then be used to make predictions about future outcomes. How to use it: In order to create an overall model, you must first create individual models for each of the desired outcomes. Once these models have been created, they can be combined into one overall model. This can be done by using the “Combine Models” feature in SAP Predictive Analytics. This feature allows you to select the models you want to combine and then creates an overall model based on those selections. Tips & Tricks: When creating an overall model, it is important to consider which models will work best together. For example, if you are trying to predict customer churn, you may want to combine a regression model with a decision tree model. Additionally, it is important to consider how the different models will interact with each other and how they will affect the overall accuracy of the model. Related Information: For more information on creating an overall model in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/3.2/en-US/f9f8d7a7c9e14b6f8a5d3c2b1e4d7f2a.html