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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Model generated from the sequential use of the classification/regression component and of the descriptive statistics using the aggregate data sets Validation, Estimation then Test.
Key Concepts: An aggregate model is a type of predictive analytics model used in SAP Predictive Analytics. It is used to predict the aggregate value of a given set of data points, such as the total sales of a product over a certain period of time. It is based on the assumption that the individual data points are related to each other in some way, and that the aggregate value can be predicted by analyzing the relationships between them. How to use it: To use an aggregate model, you first need to collect and organize your data. This includes gathering all relevant information about the data points, such as their values, relationships, and any other relevant information. Once you have collected and organized your data, you can then use SAP Predictive Analytics to create an aggregate model. This involves selecting the appropriate algorithm for your data set, training the model on your data, and then testing it to ensure that it is accurate and reliable. Tips & Tricks: When creating an aggregate model, it is important to ensure that you have enough data points to accurately predict the aggregate value. Additionally, it is important to ensure that your data is clean and organized before training the model. Finally, it is important to test your model regularly to ensure that it is still accurate and reliable. Related Information: Aggregate models are just one type of predictive analytics model available in SAP Predictive Analytics. Other types of models include classification models, regression models, clustering models, and time series models. Additionally, there are many different algorithms available for creating predictive analytics models in SAP Predictive Analytics.