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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Data set on which you apply a model. This data set contains an unknown target variable for which you want to know the value.
Key Concepts: An application data set is a collection of data used to create a predictive model in SAP Predictive Analytics. It is composed of input variables, which are the data points used to create the model, and output variables, which are the results of the model. The application data set is used to train the model and can be used to make predictions. How to use it: To use an application data set in SAP Predictive Analytics, you must first create a project and select the type of predictive model you want to create. Then, you must select the input and output variables for your model. Once you have selected your variables, you can upload your application data set into the project. The application data set will then be used to train the predictive model. Tips & Tricks: When creating an application data set for SAP Predictive Analytics, it is important to ensure that all of the input and output variables are correctly labeled and that all of the data points are accurate. Additionally, it is important to make sure that there are enough data points in the application data set to accurately train the predictive model. Related Information: For more information on creating an application data set for SAP Predictive Analytics, please refer to the official SAP documentation here: https://help.sap.com/viewer/product/SAP_PREDICTIVE_ANALYTICS/3.2/en-US/f8d7f9a7c9e04b6f8a5d3c2b1e4d7f2a.html