What are the techniques used in supervised learning?

0 votes
What are the techniques used in Machine Learning? Can you please explain with example? Thank you
May 9 in Machine Learning by Dipti
64 views

1 answer to this question.

0 votes

There are two main techniques used in supervised learning:

Classification - A classification problem is when the output variable is a category, such as “red” or “blue” or “disease” and “no disease”. A classification model attempts to draw some conclusion from observed values.

Regression - A regression problem is when the output variable is a real or continuous value, such as “salary” or “weight”. Many different models can be used, the simplest is the linear regression. It tries to fit data with the best hyper-plane which goes through the points.

The difference between the two tasks is the fact that the dependent attribute is numerical for regression and categorical for classification.

answered May 9 by Kiran

Related Questions In Machine Learning

0 votes
1 answer
0 votes
0 answers

What is semi-supervised machine learning?

What is semi-supervised machine learning? READ MORE

May 8 in Machine Learning by Ganesh
20 views
0 votes
1 answer

What is clustering in Machine Learning?

Clustering is a type of unsupervised learning ...READ MORE

answered May 9 in Machine Learning by Shridhar
51 views
0 votes
2 answers

What is supervised learning?

Supervised learning is the machine learning task ...READ MORE

answered Sep 3 in Data Analytics by anonymous
• 25,900 points
27 views
0 votes
1 answer