Machine Learning $-$ Assignement $-2$

We have this dataset representing cars in a showroom

The explanation of the columns is as follows; CarNo is the sample index, Maker, Type and Color are three used features and Sell is the target Class $($car sold or not$)$

A Showroom car selling Data

$\backslash$table$[[$Car No$.,$Maker,Type,Color,Sell$],[1,$TATA,SPORTS,RED,YES$],[2,$FORD,SPORTS,BLACK,YES$],[3,$TATA,SUV,RED,NO$],[4,$FORD,SUV,RED,NO$],[5,$TATA,SPORTS,BLACK,YES$],[6,$FORD,SPORTS,BLACK,NO$],[7,$TATA,SUV,RED,NO$],[8,$TATA,SUV,RED,YES$],[9,$FORD,SUV,BLACK,NO$],[10,$FORD,SUV,BLACK,YES$]]$

Using the Na$$ve Bayes classification algorithm perform the necessary calculations to predict the class Sell $=$ YES or NO