An insurance company has to decide whether they will approve insurance for an applicant or not. They have historical data on approvals made in the past (total 200 applications). A modeler has been tasked to build a classification model which can help predict which applicants are eligible for insurance and which are not. In the event of approval, the dependent variable takes value 1 and takes value 0 otherwise. The modeler comes up with a model with the following confusion matrix on the training data. Predicted Actual 1 100 20 10 70 Select one: O a. The accuracy is 85% and sensitivity is 83% O b. None of the above O. The accuracy is 83% and sensitivity is 85% O d. The sensitivity is 83%

An insurance company has to decide whether they will approve insurance for an applicant or not. They have historical data on approvals made in the past (total 200 applications). A modeler has been tasked to build a classification model which can help predict which applicants are eligible for insurance and which are not. In the event of approval, the dependent variable takes value 1 and takes value 0 otherwise. The modeler comes up with a model with the following confusion matrix on the training data. Predicted Actual 1 100 20 10 70 Select one: O a. The accuracy is 85% and sensitivity is 83% O b. None of the above O. The accuracy is 83% and sensitivity is 85% O d. The sensitivity is 83%

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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