[Machine Learning - Naive Bayes classifier]

What is the prediction of the classifier for X1 = 0, X2 = 0, and what is probability of the predicted class?

Table 1: P(Y) Y=00.7 Y-10.3 Table 2: P(X1|Y) X1-0X1-1 Y-00.60.4 Y-10.4 |0.6 Consider three random variables X1, X2 and Y. X1 and Y are generated according to Tables 1 and 2. Once X1 has been generated, X2 takes on the same value as X1. Consider a Naive Bayes classifier trained on features X1 and X2 and class label Y, using a very large number of training samples generated from Tables 1 and 2 Table 1: P(Y) Y=00.7 Y-10.3 Table 2: P(X1|Y) X1-0X1-1 Y-00.60.4 Y-10.4 |0.6 Consider three random variables X1, X2 and Y. X1 and Y are generated according to Tables 1 and 2. Once X1 has been generated, X2 takes on the same value as X1. Consider a Naive Bayes classifier trained on features X1 and X2 and class label Y, using a very large number of training samples generated from Tables 1 and 2