What Does Regression Mean in Machine Learning?

By Kristi Waterworth – Updated Dec 3, 2025 at 2:20 AM EST

Key Points

Regression analysis predicts outcomes using various inputs, enhancing investment decision-making.
Quality of data fed into machine learning regression models critically influences prediction accuracy.
Machine learning broadens regression's scope, applying it to complex datasets for unexpected insights.

Artificial intelligence (AI) and machine learning are taking the world by storm right now. However, this also means that a previously limited field is suddenly being discovered by a lot of people who lack any background in programming and may struggle with the terminology involved. One very important type of machine learning model is regression.

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About the Author

Kristi Waterworth has been a contributing real estate and financial expert at The Motley Fool, covering real estate, investing, and personal finance topics, since 2020. Kristi has been interviewed by various TV media outlets and podcasts for her real estate investing expertise – from residential real estate to digital real estate and everything in between. Kristi’s journalist career spans over 25 years, and she has written about real estate investing, homeownership, and home construction specifically for the last decade. She was also previously a licensed Realtor and general building contractor before the Great Recession and housing market collapse. She holds a bachelor’s degree in American history from Columbia College in Missouri.

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