In the table below, x1, x2, x3 and xi {0,1}, i = 1,2,3 xi represent the i feature vector and y {+,-} represents the class label.

+ QUESTIONS In the table below, X1, X2, X3 and Xi {0,1}, i= 1,2,3 x represent the i feature vector and ye {+,-} represents the class label. Q1) [15pts] Id X1 X2 X3 Classify the data point with Id=6 using a Nave Bayes classifier, on 1 1.0 0.2 0.2 the given traning dataset (datapoints with Ids=1, 2, 3, 4, 5). 2 1.25 1.25 0.1 + Assume that every feature has a Gaussian distribution. 3 0.25 0.3 0.9 4 0.5 0.3 5 0.75 1.5 0.8 6 0.25 0.0 1.2 ? 0.1