+ 2

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!

11th Sep 2020, 9:01 AM
Sàm Sàm Channel !
Sàm Sàm Channel ! - avatar
4 Respostas
+ 3
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/
11th Sep 2020, 1:49 PM
SpaceBarMönkey
SpaceBarMönkey - avatar
+ 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!
11th Sep 2020, 10:14 AM
SpaceBarMönkey
SpaceBarMönkey - avatar
+ 1
No problem! :)
11th Sep 2020, 4:06 PM
SpaceBarMönkey
SpaceBarMönkey - avatar
0
Thanks :)
11th Sep 2020, 2:43 PM
Sàm Sàm Channel !
Sàm Sàm Channel ! - avatar