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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Process of putting a sequence of characters letters, numbers, punctuation, and certain symbols into a specialized format for efficient transmission or storage.
Key Concepts: Encoding is a process used in SAP Predictive Analytics to convert categorical data into numerical data. This is done by assigning a numerical value to each category, which allows the data to be used in predictive models. This process is also known as “feature engineering” or “feature extraction”. How to use it: In order to use encoding in SAP Predictive Analytics, you must first identify the categorical variables in your dataset. Once you have identified the categorical variables, you can then assign a numerical value to each category. This can be done manually or using an automated tool such as the “Encode” function in SAP Predictive Analytics. Tips & Tricks: When encoding categorical variables, it is important to ensure that the numerical values assigned to each category are meaningful and consistent. For example, if you are encoding a variable with three categories (A, B, and C), it may be helpful to assign the values 1, 2, and 3 respectively. This will make it easier to interpret the results of your predictive models. Related Information: For more information on encoding and feature engineering in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/3.2/en-US/f9f8d7a7c9e04d6f8b3a5b2c9f1e4d6a.html