# What does the error rate mean in Naive Bayes.

Can anyone explain what the Bayes error rate is in Naive Bayes, for instance in matlab:

[class, err]  = classify(UnseenTestdata, training_data, target_class,'diaglinear')


I get an error rate (err) of 0.5040 what does this mean? Im not a math orientated person so plain english would help. Is this good, bad or very ugly?

-