I have a data which has only a single class, namely,
'0'. There is no
'not 0' class.
The one-class SVM model was trained on a
train dataset containing only a single class
'0'. I do not unnecessarily want to find a random
'not 0' class to include in
test dataset for prediction.
What will be the output of this approach?
How can we interpret the result?
What if the
0? Is it normal or have
specificity to be
In that case how do we plot ROC curve?
After training it only on
'0' class, I tested it on only
'0' class (unseen and unlabeled data), and the model still gave
'-1' for a few samples. Why did not it give all
I will appreciate an example on an arbitrary data.