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"How to interpret One-class SVM output?"

mohammadrezamohammadreza Member Posts: 23 Contributor I
edited June 2019 in Help
Hi gurus,

I have used one-class SVM for binary classification in RapidMiner. I only trained the model with false examples. And the output is "inside" either "outside". Now in order to calculate precision and recall, I need true positive, false positive and so on. But due to the fact that I trained the model only with false examples,Β  I am not sure if the following is right:

"inside = non-anomaly=false"
"outside = anomaly=true"

Thanks in advance for any idea which may help me come out of this confusion.
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Answers

  • mohammadrezamohammadreza Member Posts: 23 Contributor I
    Any idea please?
  • mohammadrezamohammadreza Member Posts: 23 Contributor I
    Hi, I figured it out.

    It was not a good idea for my problem to train the classifier with negative samples. I trained it with anomalies and the precision and recall have their original meaning now.
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