Homework Help is Here – Start Your Trial Now!
Math
Advanced Math
A classification study was carried in which, after training, predictions were obtained for each of two classifiers Y1 and Y2. The following are the confusion matrices obtained with n = 150 validation observations. Predicted Y1 0 1 and True 0 1 10 75 4 61 True 0 1 Predicted Y2 0 1 80 5 62 3 The classifiers Y1 and Y2 are to be compared. To this end, compute the performance measures TPR and FPR for each classifier. Then compare the classifiers using these results and briefly discuss which of Y1 and Y2 has a better performance. As part of your solution include your computed performance measures TPR, FPR.

A classification study was carried in which, after training, predictions were obtained for each of two classifiers Y1 and Y2. The following are the confusion matrices obtained with n = 150 validation observations. Predicted Y1 0 1 and True 0 1 10 75 4 61 True 0 1 Predicted Y2 0 1 80 5 62 3 The classifiers Y1 and Y2 are to be compared. To this end, compute the performance measures TPR and FPR for each classifier. Then compare the classifiers using these results and briefly discuss which of Y1 and Y2 has a better performance. As part of your solution include your computed performance measures TPR, FPR.

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
See similar textbooks
icon
Related questions
Question
A classification study was carried in which, after training, predictions were obtained for each of two classifiers Y1 and Y2. The following are the confusion matrices obtained with n = 150 validation observations. Predicted Y1 0 1 and True 0 1 10 75 4 61 True 0 1 Predicted Y2 0 1 80 5 62 3 The classifiers Y1 and Y2 are to be compared. To this end, compute the performance measures TPR and FPR for each classifier. Then compare the classifiers using these results and briefly discuss which of Y1 and Y2 has a better performance. As part of your solution include your computed performance measures TPR, FPR.
Transcribed Image Text:A classification study was carried in which, after training, predictions were obtained for each of two classifiers Y1 and Y2. The following are the confusion matrices obtained with n = 150 validation observations. Predicted Y1 0 1 and True 0 1 10 75 4 61 True 0 1 Predicted Y2 0 1 80 5 62 3 The classifiers Y1 and Y2 are to be compared. To this end, compute the performance measures TPR and FPR for each classifier. Then compare the classifiers using these results and briefly discuss which of Y1 and Y2 has a better performance. As part of your solution include your computed performance measures TPR, FPR.
Expert Solution
steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,
SEE MORE TEXTBOOKS