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Compute the accuracy measures using the confusion matrix below. C1 is the class of interest. Actual Class C1 C2 C1 634 102 Predicted Class C2 89 1198 Round your answers to 3 digits after the decimal point. The Overall Accuracy is 0.906 The Overall Error Rate is 0.94 The False Discovery Rate (FDR) is 0.139 The False Omission Rate (FOR) is 0.069 The Precision is 0.861 The Specificity is 0.922 The Sensitivity is 0.877

Compute the accuracy measures using the confusion matrix below. C1 is the class of interest. Actual Class C1 C2 C1 634 102 Predicted Class C2 89 1198 Round your answers to 3 digits after the decimal point. The Overall Accuracy is 0.906 The Overall Error Rate is 0.94 The False Discovery Rate (FDR) is 0.139 The False Omission Rate (FOR) is 0.069 The Precision is 0.861 The Specificity is 0.922 The Sensitivity is 0.877

MATLAB: An Introduction with Applications
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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Compute the accuracy measures using the confusion matrix below. C1 is the class of interest. Actual Class С1 C2 C1 634 102 Predicted Class C2 89 1198 Round your answers to 3 digits after the decimal point. The Overall Accuracy is 0.906 The Overall Error Rate is 0.94 The False Discovery Rate (FDR) is 0.139 The False Omission Rate (FOR) is 0.069 The Precision is 0.861 The Specificity is 0.922 The Sensitivity is 0.877
Transcribed Image Text:Compute the accuracy measures using the confusion matrix below. C1 is the class of interest. Actual Class С1 C2 C1 634 102 Predicted Class C2 89 1198 Round your answers to 3 digits after the decimal point. The Overall Accuracy is 0.906 The Overall Error Rate is 0.94 The False Discovery Rate (FDR) is 0.139 The False Omission Rate (FOR) is 0.069 The Precision is 0.861 The Specificity is 0.922 The Sensitivity is 0.877
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