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# Regression and Classification in Supervised Learning.

I'm learning about Supervised Learning in Machine Learning. It's really hard for me to understand and distinguish: Regression Model vs Classification Model. Can you help me? And in Supervised Learning, what are some popular models? Thank you so much! Have a nice day!

4 ответов

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Popular models regarding supervised learning are for example Linear Regression, Logistic Regression, K-Nearest Neighbors, Naive-Bayes or CART.
https://www.dataquest.io/blog/top-10-machine-learning-algorithms-for-beginners/

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Regression problems in general are those that require a numerical value (e.g. housing prices) as a target output. Classification problems are those that require a category (e.g. female or male) as a target output. However Logistic Regression as an algorithm/model is used for classification problems (not regression problems). It's a bit deceptive.
Hope it helps!

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No problem! :)

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Thanks :)