a Compute 5-point summary for following observations of an attribute. Comment on the results. 6,9,7,15, 12, 18, 54, 19.5,2,1 b. Consider an ensemble of 3 independent 2-class classifiers, with error rates of 0.2, 0.3, and 0.4. The ensemble predicts class of test case based on majority decision among the classifiers. What is the error rate of the ensemble classifier? Comment on results c. The following contingency table summarizes supermarket transaction data, where Bread refers to the transactions containing Bread, -Bread refers to the transactions that do not contain Bread, Coke refers to the transactions containing Coke, and Coke refers to the transactions that do not contain Coke Bread Bread Row sum Coke 2000 500 2500 "Coke 1000 1500 2500 Column Sum 3000 2000 5000 You are looking for association rules with minimum support of 35% and minimum confidence of 70% and with justification of more than 1.4. Confirm your findings a Compute 5-point summary for following observations of an attribute. Comment on the results. 6,9,7,15, 12, 18, 54, 19.5,2,1 b. Consider an ensemble of 3 independent 2-class classifiers, with error rates of 0.2, 0.3, and 0.4. The ensemble predicts class of test case based on majority decision among the classifiers. What is the error rate of the ensemble classifier? Comment on results c. The following contingency table summarizes supermarket transaction data, where Bread refers to the transactions containing Bread, -Bread refers to the transactions that do not contain Bread, Coke refers to the transactions containing Coke, and Coke refers to the transactions that do not contain Coke Bread Bread Row sum Coke 2000 500 2500 "Coke 1000 1500 2500 Column Sum 3000 2000 5000 You are looking for association rules with minimum support of 35% and minimum confidence of 70% and with justification of more than 1.4. Confirm your findings