high confidence values for this so it might not be a very good thing because these things you miss classify with very high confidence okay so the approach which were sort of used as trying to basically approximate the probability distribution which we're really interested in by this model where you have these different meta parameters in there and usually just pick one meta parameter and then run with it so what we really wanted to do is sort of marginalize out over these meta parameters and try to find a more robust