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? 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