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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Group of items.
Key Concepts: An itemset is a collection of items that are related to each other in some way. In SAP Predictive Analytics, an itemset is a set of items that are used to create a predictive model. The items in an itemset can be either numerical or categorical, and they can be used to predict a target variable. How to use it: In SAP Predictive Analytics, an itemset is used to create a predictive model. To create an itemset, the user must first select the items that they want to include in the set. Once the items have been selected, the user can then use the itemset to create a predictive model. The model can then be used to make predictions about the target variable. Tips & Tricks: When creating an itemset, it is important to select items that are relevant to the target variable. Additionally, it is important to select items that have a strong correlation with the target variable. This will help ensure that the predictive model created from the itemset is accurate and reliable. Related Information: SAP Predictive Analytics also includes other features such as data pre-processing and feature selection. These features can be used in conjunction with an itemset to create a more accurate and reliable predictive model. Additionally, SAP Predictive Analytics also includes tools for evaluating and validating predictive models.
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