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

Given the test sample of $"*$review us$*$

The value of P$(**$review us$**/$spam$)$ is $\_$

$?"$

$$ a$.0,40$

$$ b$.0\mathrm{.}36$

$$ c$.0\mathrm{.}48$

$$ d$.0\mathrm{.}44$