1. Consider the data set shown in Table below: Instance A B C Class 0 0 1 1 0 1 1 0 1 10 1 0 1 (a) (a)Estimate the conditional probabilities for P (Al+), P (BI+), P (CI+), P (Al-), P (BI-), P (CI-) (b) (b)Use the estimate of conditional probabilities given in the previous question to predict the class label for a test sample (A-o, B-1, C:0) using the naive Bayes approach. (c) (c)Estimate the conditional probabilities using the m-estimate approach, with p: I/2 and m:4 (d) (d)Repeat part (b) using the conditional probabilities given in part (c) (e) (e)Compare the two methods for estimating probabilities. Which method is better and why