"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 P$($not$\_$spam$/"$review us$"*)$ is $\_$

$\_?"$

$$ a$.0\mathrm{.}87$

b$.0$

$$ c$.0\mathrm{.}56$

$$ d$.0\mathrm{.}3$