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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Possible type of variable: continuous, ordinal, nominal, and textual.
Key Concepts: Value is a term used in SAP Predictive Analytics to refer to the numerical value of a data point. It is used to measure the impact of a certain variable on the outcome of a predictive model. For example, if a model is predicting the likelihood of a customer making a purchase, the value of each customer's data point can be used to determine how much influence it has on the model's prediction. How to Use It: In SAP Predictive Analytics, value is used to measure the impact of each data point on the predictive model. To calculate the value of a data point, the model will look at how much influence it has on the outcome. This can be done by looking at how much it changes the prediction when it is included or excluded from the model. Tips & Tricks: When using value in SAP Predictive Analytics, it is important to remember that it is only one factor in determining the accuracy of a predictive model. Other factors such as data quality and feature selection also play an important role in creating an accurate model. Related Information: For more information about using value in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/value_en.html