"Given the following training data regarding 'spam' and 'not spam' messages. Use

Naive Bayes approach with each word as a separate event$/$feature$.$

D$1$: send us your password $=$ spam

D$2$: send us your review $=$ not$\_$spam

D$3$: review your password $=$ not$\_$spam

D$4$: review us $=$ spam

D$5$: send your password $=$ spam

D$6$: send us your account $=$ spam

The value of not$\_$spam$/"$ review us$")$ is

a$.0\mathrm{.}56$

b$.0\mathrm{.}87$

c$.0\mathrm{.}31$

d$.0$