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 Using the Nave Bayes classification algorithm perform the necessary calculations to predict the class ( Sell = YES or NO ) of this new example: X={ Maker = TATA / Type = SUV / Color = BLACK }