Naive Bayes Classification$-$Exercise

$\backslash$table$[[$Example No$.,$Color,Type,Origin,Stolen?$],[1,$Red,Sports,Domestic,Yes$],[2,$Red,Sports,Domestic,No$],[3,$Red,Sports,Domestic,Yes$],[4,$Yellow,Sports,Domestic,No$],[5,$Yellow,Sports,Imported,Yes$],[6,$Yellow,SUV,Imported,No$],[7,$Yellow,SUV,Imported,Yes$],[8,$Yellow,SUV,Domestic,No$],[9,$Red,SUV,Imported,No$],[10,$Red,Sports,Imported,Yes$]]$

Attributes are Color, Type, Origin, and the subject, stolen can be either $$yes$$ or $$no$.6($a$)$ design a Naive Bayes classifier by hand to determine the class of the Red Domestic SUV $($b$)$ using the pre$-$defined functions of scikit$-$learn package, train Naive Bayes classifier to classify a Red Domestic SUV. Note there is no example of a Red Domestic SUV in our data set.

Classify: Red SUV Domestic