Hi Albert,
Thank you for replying.
You are right, a high FPR might indicate an overfitting problem.
I have been having discussions with friends and our insight so far is
that I was worrying a non-existent problem. Feeding two dataset of
both 'Normal Classes' into the 'decision_function' of OCSVM
Hi Ady,
Overfitting is a possible explanation. If your model learnt your normal
scenarios too well then every abnormal data will be predicted as abnormal
(so you will have a good performance for anomalies) however none of the
normal instances of the test set will be in the normal region (so you w
