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Data mining "SVM" & " Bayesian Classifier" Class + Question 1: Consider the data set shown in the following Table: Record A B C 0 0 0 0 0 1 0 1 1 0 1 0 7 1 8 1 9 1 1 1 + 10 1 0 1 + a) Estimate the conditional probabilities for P(A|+), P(B|+), P(C|+), P(A|—), P(B|—), and P(C|—). b) Use the estimate of conditional probabilities given in the previous question to predict the class label for test sample (A=0, B=1, C=0) using the naive Bayes approach. c) Estimate the conditional probabilities using the m-estimate approach, with p=1/2 and m=4. d) Repeat part (b) using the conditional probabilities given in part (c). e) Compare the two methods for estimating probabilities. Which method is better and why? 2345

Data mining "SVM" & " Bayesian Classifier" Class + Question 1: Consider the data set shown in the following Table: Record A B C 0 0 0 0 0 1 0 1 1 0 1 0 7 1 8 1 9 1 1 1 + 10 1 0 1 + a) Estimate the conditional probabilities for P(A|+), P(B|+), P(C|+), P(A|—), P(B|—), and P(C|—). b) Use the estimate of conditional probabilities given in the previous question to predict the class label for test sample (A=0, B=1, C=0) using the naive Bayes approach. c) Estimate the conditional probabilities using the m-estimate approach, with p=1/2 and m=4. d) Repeat part (b) using the conditional probabilities given in part (c). e) Compare the two methods for estimating probabilities. Which method is better and why? 2345

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Data mining "SVM" & " Bayesian Classifier" Class Question 1: Consider the data set shown in the following Table: Record A B C 1 0 0 0 0 0 1 0 1 1 4 1 1 5 0 6 1 0 7 0 8 0 9 1 1 1 10 1 0 1 + a) Estimate the conditional probabilities for P(A+), P(B|+), P(C|+), P(A|—), P(B|—), and P(C|—). b) Use the estimate of conditional probabilities given in the previous question to predict the class label for a test sample (A=0, B=1, C=0) using the naive Bayes approach. c) Estimate the conditional probabilities using the m-estimate approach, with p =1/2 and m=4. d) Repeat part (b) using the conditional probabilities given in part (c). e) Compare the two methods for estimating probabilities. Which method is better and why? 23 000 ++++
Transcribed Image Text:Data mining "SVM" & " Bayesian Classifier" Class Question 1: Consider the data set shown in the following Table: Record A B C 1 0 0 0 0 0 1 0 1 1 4 1 1 5 0 6 1 0 7 0 8 0 9 1 1 1 10 1 0 1 + a) Estimate the conditional probabilities for P(A+), P(B|+), P(C|+), P(A|—), P(B|—), and P(C|—). b) Use the estimate of conditional probabilities given in the previous question to predict the class label for a test sample (A=0, B=1, C=0) using the naive Bayes approach. c) Estimate the conditional probabilities using the m-estimate approach, with p =1/2 and m=4. d) Repeat part (b) using the conditional probabilities given in part (c). e) Compare the two methods for estimating probabilities. Which method is better and why? 23 000 ++++
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