This article explains the concept of Regression as a Machine Learning term, and as a concept within the AI & Analytics Engine: Regression is a type of problem where one needs to predict a numeric value of an object
What type of problem is Regression?
Regression is a type of problem where one needs to predict a numeric value of an object, for example:
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Predict how many units of products a customer will buy next week/month.
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Predict the total claim amount a health insurance customer will make over the next year, based on their lifestyle and medical history.
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Predict the total amount of monetary value a customer would spend during their entire time using the products that a business has to offer.
Proper data-driven prediction can assist in making faster and more accurate business decisions. Automating the process using machine-learning models is crucial, especially when dealing with a large amount of data.
Regression using the AI & Analytics Engine
State-of-the-art algorithms for regression modeling are available on the AI & Analytics Engine in the App builder pipeline. You can manually choose the regression algorithm, or have the Engine choose the best based on prediction quality or training time.
🎓 For more information about regression models, read which metrics are used to evaluate a regression model's performance?