ZOO st Your task is to classify words as English or not English. Words are generated by a source with the following distribution. Event Word English? Probability 1 ozb No 4/9 2 uzu No 4/9 3 Yes 1/18 4 bun Yes 1/18 computer the parameters (priors and conditional probabilities) of a multinomial Nave Bayes classifier that uses the letters b, n, o, u, and z as features. Assume a training set that reflects the probability distribution of the source perfectly. Compute parameters using a particular smoothing method: computed-zero probabilities are smoothed into probability 0.01, and computed-nonzero probabilities are untouched (may cause P(A) + P(not A) > 1, which is fine) how does the classifier classify the word zoo