Data Mining The Confusion Matrix regarding the results of the antigen test on people who are suspected of being infected with Covid-19 with the following results. [Attached table below or above] From the matrix above, please calculate and explain what is meant by: a. Accuracy b. Error Rate c. Sensitivity d. Specificity e. Precision f. Recall Give your conclusion regarding the test results; Also explain whether the test results are accurate or not? Explain when prediction results are considered accurate and when prediction results are considered inaccurate?
Data Mining The Confusion Matrix regarding the results of the antigen test on people who are suspected of being infected with Covid-19 with the following results. [Attached table below or above] From the matrix above, please calculate and explain what is meant by: a. Accuracy b. Error Rate c. Sensitivity d. Specificity e. Precision f. Recall Give your conclusion regarding the test results; Also explain whether the test results are accurate or not? Explain when prediction results are considered accurate and when prediction results are considered inaccurate?
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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Data Mining
The Confusion Matrix regarding the results of the antigen test on people who are suspected of being infected with Covid-19 with the following results.
[Attached table below or above]
From the matrix above, please calculate and explain what is meant by:
a. Accuracy
b. Error Rate
c. Sensitivity
d. Specificity
e. Precision
f. Recall
Give your conclusion regarding the test results; Also explain whether the test results are accurate or not? Explain when prediction results are considered accurate and when prediction results are considered inaccurate?
Transcribed Image Text:Predicted YES
Predicted NO
Actual YES
2000
1000
Actual NO
200
100
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