Question

Why is "smoothing" useful when applying Naive Bayes?
a.Smoothing allows Naive Bayes to be less naive by not assuming
that evidence is
conditionally independent
b. Smoothing allows Naive Bayes to turn a conditional probability of evidence given a
category into a probability of a category given evidence
c.Smoothing allows Naive Bayes to better handie cases where evidence has never
appeared for a particular category
d.Smoothing allows Naive
Bayes to better handle cases where there are many
categories to classy between instead of us​

Answer 1

Answer:

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