Let us say we have data on 1000 pieces of fruit. The fruit being a Banana, Orange or some Other fruit and imagine we know 3 features of each fruit, whether it's long or not, sweet or not and yellow or not, as displayed in the table below. Let us say we're given the features of a piece of fruit and we need to predict the class. If we're told that the additional fruit is Long, Sweet and Yellow, we can classify it using the Naive Bayes classier, whether it's a Banana, an Orange or Other Fruit. The one with the highest probability (score) being the winner. Determine the winner. See lecture notes for a brief discussion and an example of Naive Bayes classier