What is training data in SAP CA-ML-DAR - ?

SAP Term: training data

• Component: CA-ML-DAR

• Component Name:

• Description: Data Attribute Recommendation Business data used to train a machine learning model. For Data Attribute Recommendation, the training data is the master data and it is composed of a dataset schema and a dataset.

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• Key Concepts: 
  Training data is a set of data used to train a machine learning model. It is used to teach the model how to recognize patterns and make predictions. The training data consists of input variables (also known as features) and output variables (also known as labels). The input variables are used to provide the model with information about the problem, while the output variables are used to provide the model with the desired output. 
  
  How to use it: 
  In SAP, training data is used in the Component CA-ML-DAR (Data Analysis and Reporting). This component allows users to create and manage machine learning models. To create a model, users must first provide the system with training data. This data is used to teach the model how to recognize patterns and make predictions. Once the training data has been provided, users can then use the system to create and manage their models. 
  
  Tips & Tricks: 
  When providing training data for a machine learning model, it is important to ensure that the data is accurate and up-to-date. Additionally, it is important to ensure that the data is representative of the problem that you are trying to solve. This will help ensure that your model is able to accurately recognize patterns and make accurate predictions. 
  
  Related Information: 
  For more information on training data and how it is used in SAP, please refer to SAP's documentation on Data Analysis and Reporting (CA-ML-DAR). Additionally, there are many online resources available that provide more information on machine learning and how it can be used in SAP.