fitcnb, Naive Bayes classifier predictor distributions
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Dear All,
I plan training a naive Bayes classifier on using two features predictors (assumed independent, and both derived from voxel intensities in an image) for a binary (0,1) voxel/pixcel classification task (within-label, outside-label). The two predictors have a generalized extreme value distribution (GEVD), so they do not fit the predictor distributions includied with fitcnb. What distribution should I adopt, from those included?
Thank you.
OL
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