The chart below is a summary of the main results of a test data set representing the population observed purchasing a virtual digital assistant. What is the percent of the results that are incorrectly classified? Metrics Metric Accuracy (#correct) Accuracy (%correct) Specificity Sensitivity (Recall) Precision F1 Score Success Class Success Probability Class e 1 Overall Error Report # Cases 130 110 240 Value 188 88.4 0.88140 0.2 0.82498 0.88210 # Errors 19 10 28 1 0.6 % Errors 12.95 9 11.60
The chart below is a summary of the main results of a test data set representing the population observed purchasing a virtual digital assistant. What is the percent of the results that are incorrectly classified? Metrics Metric Accuracy (#correct) Accuracy (%correct) Specificity Sensitivity (Recall) Precision F1 Score Success Class Success Probability Class e 1 Overall Error Report # Cases 130 110 240 Value 188 88.4 0.88140 0.2 0.82498 0.88210 # Errors 19 10 28 1 0.6 % Errors 12.95 9 11.60
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Multiple Choice
12%
9%
12.95%
11.60%

Transcribed Image Text:The chart below is a summary of the main results of a test data set representing the population observed purchasing a virtual digital assistant. What is the percent
of the results that are incorrectly classified?
Metric
Accuracy (#correct)
Accuracy (%correct)
Metrics
Specificity
Sensitivity (Recall)
Precision
F1 Score
Success Class
Success Probability
Class
0
1
Overall
Error Report
# Cases
130
110
240
Value
188
88.4
0.88140
0.2
0.82498
0.88210
# Errors
19
10
28
1
0.6
% Errors
12.95
9
11.60
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