"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$.0$