ii)

# do not change the code in this cell

# make sure you run this cell

sents = ['An artificial bumblebee is learning to fly.',

'Robot wins at chess.', 'Robot causes traffic mayhem.']

1.

aA Nave Bayes classifier is initialised with prior and class conditional probability distributions according to the frequencies outlined in part a). It is asked to predict the label of the 3 sentences which have been pre-processed and stored in `sents_norm`. Using code (or otherwise), **determine** what prediction the classifier will make for each sentence. **Explain** why the classifier makes the predictions that it does.

b Use code to recalculate the class_conditional probability distribution with add-one smoothing applied.