Consider a training data set consisting of the fauna of the world. Each unit has three features named "Swim", "Fly" and "Crawl". Let the possible values of these features be as follows:

$\backslash$table$[[$Swim$,$Fast, Slow, No$],[$Fly$,$Long, Short, Rarely, No$],[$Crawl$,$Yes, No$]]$

For simplicity, each unit is classified as "Animal", "Bird" or "Fish". Let the training data set be as in Table $6\mathrm{.}1.$ Use naive Bayes algorithm to classify a particular species if its features are $($Slow$,$ Rarely, No$)?$

$\backslash$table$[[$S$1.$ No$.,$Swim,Fly,Crawl,Class$],[1,$Fast,No$,$No$,$Fish$],[2,$Fast,No$,$Yes,Animal$],[3,$Slow,No$,$No$,$Animal$],[4,$Fast,No$,$No$,$Animal$],[5,$No$,$Short,No$,$Bird$],[6,$No$,$Short,No$,$Bird$],[7,$No$,$Rarely,No$,$Animal$],[8,$Slow,No$,$Yes,Animal$],[9,$Slow,No$,$No$,$Fish$],[10,$Slow,No$,$Yes,Fish$],[11,$No$,$Long,No$,$Bird$],[12,$Fast,No$,$No$,$Bird$]]$