Regression and Classification in Supervised Learning.

Question

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!

Answer 1

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/

Answer 2

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!

Answer 3

No problem! :)

Answer 4

Thanks :)