One Class SVM not working correctly
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Hi all, I have to train a one class SVM for anomaly detection. I have a dataset with two features. I trained the model on normal instances with ocsvm function. What I don't understand are the contour lines for the ocsvm scores... I do not expect those to be like that. In the figure are represented the normal instances in the space (feature1, feature2) and the contour lines corresponding to some values of ocsvm score. They are simply absurd, not like the example see on the matlab guide. I would expect ellipsoidal contour lines, not these! Any help? Thank you! 
5 个评论
Andrea Lanza
2023-11-27
the cyclist
2023-11-27
Can you upload the data and code you used to generate the figure? You can use the paper clip icon in the INSERT section of the toolbar.
If you cannot load all the data, perhaps a subset that shows the same behavior?
Andrea Lanza
2023-11-27
Lorenzo Zarantonello
2023-11-29
I'm having the same problem too
Andrea Lanza
2023-11-29
采纳的回答
Angelo Yeo
2023-11-30
编辑：Angelo Yeo
2023-11-30
1 个投票
Thank you for reporting this. I can see that something is broken in ocsvm. Can you please contact Technical Support and report this issue?
4 个评论
Andrea Lanza
2023-11-30
Lorenzo Zarantonello
2023-11-30
Plz, let know if there are developments about this issue, im interested
Angelo Yeo
2023-12-8
@Lorenzo Zarantonello, please reach out to Technical Support if you need further explanation on the issue and workaround. I don't think I'm allowed to share it on public technical forums.
Lorenzo Zarantonello
2023-12-9
I will do so, thank you!
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