Can I plot Confusion Matrix for a One Class SVM prediction

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NCA
NCA 2024년 9월 8일
편집: Vandit 2024년 9월 8일
I trained a model with One Class SVM using only one class A.I am testing with a dataset that has both classes in it (Class A and B). I can't seem to get both classes on one Confusion Matrix. Is this normal?.

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Vandit
Vandit 2024년 9월 8일
편집: Vandit 2024년 9월 8일
Hello @NCA,
The one-class SVM is designed to detect anomalies or outliers in a dataset, so it is trained to recognize only one class. When testing with a dataset that contains both classes, the one-class SVM will classify all instances as either the target class or outliers. Therefore, the confusion matrix will only show the performance of the model in detecting the target class and will not include the other class.
If you want to evaluate the performance of the model on both classes, you would need to use a different classification algorithm that supports multi-class classification, such as a Support Vector Machine (SVM) with a multi-class extension or a different algorithm altogether.
For more information on one-class SVM, please refer to the documentation below:
Hope this helps.

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