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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Indicator that helps an organization achieve goals through the definition and measurement of progress.
Key Concepts: A key performance indicator (KPI) is a metric used to measure the performance of a business process or activity. In SAP Predictive Analytics, KPIs are used to measure the performance of predictive models and algorithms. KPIs can be used to compare different models and algorithms, as well as to track the performance of a model over time. How to use it: In SAP Predictive Analytics, KPIs are used to measure the performance of predictive models and algorithms. The most commonly used KPIs are accuracy, precision, recall, and F1 score. These metrics can be used to compare different models and algorithms, as well as to track the performance of a model over time. Tips & Tricks: When using KPIs to compare different models and algorithms, it is important to consider the context in which the model is being used. For example, if the goal is to identify fraudulent transactions, then accuracy may not be the most important metric; instead, precision or recall may be more important. Related Information: For more information on KPIs in SAP Predictive Analytics, please refer to the official documentation: https://help.sap.com/viewer/predictive-analytics/3.2/en-US/f9f8d7a7c9e14b6f8d3a5b2c9f8d7a7c.html