I have a simple question - I think.
I have recently read a paper:
That uses a one class naive bayes. My question is - can I do the same as a one class multinomial bayes when I use a Gaussian distribution.
The above paper used a threshold to identify their class of interest in a test dataset.
If I make the following assumptions:
The standard deviation is greater than one for my features in the training data
Add the log sums of the Gaussian pdfs for all variables for each sample
Could I use a threshold, some standard deviation derived from the normal - maybe 3, to identify data points that are close to my one class training data.