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Component: CA-ML-DAR
Component Name:
Description: Data Attribute Recommendation Fields of the dataset that are predicted by the machine learning model.
Key Concepts: Labels are a feature of the SAP Component CA-ML-DAR (Data Analysis and Reporting). Labels are used to categorize data in a report, allowing users to quickly identify and analyze data points. Labels can be used to group data into categories such as “high”, “medium”, and “low”, or any other custom categories. Labels can also be used to identify outliers or trends in the data. How to use it: To use labels in SAP CA-ML-DAR, first select the data points you want to label. Then, click the “Label” button in the toolbar. This will open a window where you can enter the labels you want to assign to the selected data points. Once you have entered the labels, click “OK” to apply them. Tips & Tricks: When creating labels, it is important to make sure that they are descriptive and easy to understand. This will make it easier for users to quickly identify and analyze data points. It is also important to make sure that all labels are consistent across reports. This will ensure that users can easily compare data points from different reports. Related Information: For more information on using labels in SAP CA-ML-DAR, please refer to the official documentation here: https://help.sap.com/viewer/product/CA_ML_DAR/1.0/en-US/f9f8d7a2b3e14c8a9f3d7c2b6f5e4d6a.html