3. A classifier C1 has its confusion matrix as follows: TP=100, FN=20; FP=35; and TN=190. Another classifier, C2, for the same data has its confusion matrix as follows: TP=90; FN=30; FP=15; and TN=210. Answer the following for these two classifiers: a. (6) What is the precision for the positive class for each of the classifiers? Show your work b. (5) What is the precision for the negative class for each of the classifiers? c. (6) Which classifier will be preferable if the cost of each FP error is 10 units and of each FN error is 2 units, and we want to minimize the cost of making errors? Give reason (in brief) for your choice. 3. A classifier C1 has its confusion matrix as follows: TP=100, FN=20; FP=35; and TN=190. Another classifier, C2, for the same data has its confusion matrix as follows: TP=90; FN=30; FP=15; and TN=210. Answer the following for these two classifiers: a. (6) What is the precision for the positive class for each of the classifiers? Show your work b. (5) What is the precision for the negative class for each of the classifiers? c. (6) Which classifier will be preferable if the cost of each FP error is 10 units and of each FN error is 2 units, and we want to minimize the cost of making errors? Give reason (in brief) for your choice