MATLAB Answers

Is SVM sensitive to unbalanced observations? The observations in one class is 3-4 times of the observation in an other class in binary classification

1 view (last 30 days)
Zeynab Mousavikhamene
Zeynab Mousavikhamene on 19 May 2020
My first question is sensitivity of SVM to unbalanced datapoints. How much SVM is sensitive to that?
And is there any functionality designed i the fitcsvm to account for the unbalance in the datapoints in binary classification? I know that oversampling the smaller class or undersampling the larger class can be a solution to deal with "unbalanced" observation but I am interested for other approaches.
I checke "prior" and found it's role is only to remove observations with zero prior probablity and apparently doesnot play role in the classification step.

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!