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

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Zeynab Mousavikhamene 2020-5-19

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https://ww2.mathworks.cn/matlabcentral/answers/527169-is-svm-sensitive-to-unbalanced-observations-the-observations-in-one-class-is-3-4-times-of-the-obser

回答： Prince Kumar 2021-11-22

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.