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Normalized Confusion Matrix Classifier Output (Computed Classification) Prediction A в True Class of the A 0.81 0.08 0.11 Samples (Input) в 0.10 0.77 0.13 0.11 0.15 0.74

Normalized Confusion Matrix Classifier Output (Computed Classification) Prediction A в True Class of the A 0.81 0.08 0.11 Samples (Input) в 0.10 0.77 0.13 0.11 0.15 0.74

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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For the confusion matrix shown, what is the precision for classes A. B, and C? What is the recall for classes A, B, and C? What is the overall accuracy of the system?

Normalized Confusion Matrix Classifier Output (Computed Classification) Prediction A в True Class of the A 0.81 0.08 0.11 Samples (Input) B 0.10 0.77 0.13 0.11 0.15 0.74
Transcribed Image Text:Normalized Confusion Matrix Classifier Output (Computed Classification) Prediction A в True Class of the A 0.81 0.08 0.11 Samples (Input) B 0.10 0.77 0.13 0.11 0.15 0.74
Expert Solution
Step 1

precision for A=0.81/(0.81+0.08+0.11)=1

precision for B=0.77/(0.10+0.77+0.13)=1

precision for C=0.74/(0.11+0.15+0.74)=1

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