1. Use Nave Bayes classification method (and the Bayes classification rule) to classify the following two feature vectors: a. [X1 = 1, X2= 1, X3 = 0] b. [X1 = 0, X2 = 1, X3 = 0] Table 1 gives the training data to estimate probabilities. The class labels are 0 or 1. Use 3 as the m-value i.e. m = 3 and use prior probability as 0.5 i.e., p = 0.5 Table 1. Labeled training data. X X2 X3 Class Label 0 1 0 0 0 0 0 1 0 1 1 100 1 0 1 0 1 0 1 1 1 0 Page 1 of 2 2. Use Tree Augmented Nave Bayes (and the Bayes classification rule) to classify the two feature vectors. (Don't use m-estimate for the probabilities.)