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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Table with two columns that is used to attribute a value to a key.
Key Concepts: A lookup table is a type of data table in SAP Predictive Analytics that stores values that are used to map input values to output values. It is used to define the mapping between the input and output values of a predictive model. How to use it: Lookup tables are used to define the mapping between the input and output values of a predictive model. To use a lookup table, you must first create it in SAP Predictive Analytics. Once created, you can then assign it to a predictive model. The lookup table will then be used to map the input values of the model to the corresponding output values. Tips & Tricks: When creating a lookup table, make sure that all of the input and output values are correctly mapped. This will ensure that the predictive model is able to accurately predict the output values based on the input values. Related Information: Lookup tables are commonly used in machine learning algorithms such as decision trees and neural networks. They can also be used in other types of predictive models such as regression models and time series models.