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Two binary classifiers C₁ and C₂ are tested on a test set of size 5000 test tuples and their associated class labels. Out of all test tuples, 2000 of them are labeled by zero and the rest are labeled by one. Here is the outcome of the two classifiers: C₁ falsely labels 900 test tuples. 400 of these tuples had true zero labels and the remaining 500 had true one labels. C₂ falsely labels 1000 tuples. 800 of these tuples had true zero labels and the remaining 200 had true one labels. Find true positive, false positive, true negative, false negative, specificity, precision, recall, and accuracy for each of the two classifiers. Also, specify which classifier has higher Fs-score and which one has higher F-score.

Two binary classifiers C₁ and C₂ are tested on a test set of size 5000 test tuples and their associated class labels. Out of all test tuples, 2000 of them are labeled by zero and the rest are labeled by one. Here is the outcome of the two classifiers: C₁ falsely labels 900 test tuples. 400 of these tuples had true zero labels and the remaining 500 had true one labels. C₂ falsely labels 1000 tuples. 800 of these tuples had true zero labels and the remaining 200 had true one labels. Find true positive, false positive, true negative, false negative, specificity, precision, recall, and accuracy for each of the two classifiers. Also, specify which classifier has higher Fs-score and which one has higher F-score.

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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Two binary classifiers C₁ and C₂ are tested on a test set of size 5000 test tuples and their associated class labels. Out of all test tuples, 2000 of them are labeled by zero and the rest are labeled by one. Here is the outcome of the two classifiers: C₁ falsely labels 900 test tuples. 400 of these tuples had true zero labels and the remaining 500 had true one labels. C₂ falsely labels 1000 tuples. 800 of these tuples had true zero labels and the remaining 200 had true one labels. Find true positive, false positive, true negative, false negative, specificity, precision, recall, and accuracy for each of the two classifiers. Also, specify which classifier has higher Fs-score and which one has higher F-score.
Transcribed Image Text:Two binary classifiers C₁ and C₂ are tested on a test set of size 5000 test tuples and their associated class labels. Out of all test tuples, 2000 of them are labeled by zero and the rest are labeled by one. Here is the outcome of the two classifiers: C₁ falsely labels 900 test tuples. 400 of these tuples had true zero labels and the remaining 500 had true one labels. C₂ falsely labels 1000 tuples. 800 of these tuples had true zero labels and the remaining 200 had true one labels. Find true positive, false positive, true negative, false negative, specificity, precision, recall, and accuracy for each of the two classifiers. Also, specify which classifier has higher Fs-score and which one has higher F-score.
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