Evaluate the performance of a Fisher Discriminant Function using the following output. Compute the rate for total missclassification and state your conclusion. Classification Results Predicted Group Membership Malignant 190 Diagnosis Malignant Benign Malignant Benign Malignant Benign Malignant Benign Original Benign 22 Total 212 Count 12 345 357 % 89.6 10.4 100.0 100.0 212 357 3.4 96.6 Cross- Count 189 23 validated 15 342 89.2 10.8 100.0 4.2 95.8 100.0

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Evaluate the performance of a Fisher Discriminant Function using the following output.
Compute the rate for total missclassification and state your conclusion.
Classification Results
Predicted Group
Membership
Malignant
190
Diagnosis
Malignant
Benign
Malignant
Benign
Malignant
Benign
Malignant
Benign
Original
Benign
22
Total
212
Count
12
345
357
%
89.6
10.4
100.0
100.0
212
3.4
96.6
Cross-
Count
189
23
validated
357
100.0
15
342
89.2
10.8
4.2
95.8
100.0
Transcribed Image Text:Evaluate the performance of a Fisher Discriminant Function using the following output. Compute the rate for total missclassification and state your conclusion. Classification Results Predicted Group Membership Malignant 190 Diagnosis Malignant Benign Malignant Benign Malignant Benign Malignant Benign Original Benign 22 Total 212 Count 12 345 357 % 89.6 10.4 100.0 100.0 212 3.4 96.6 Cross- Count 189 23 validated 357 100.0 15 342 89.2 10.8 4.2 95.8 100.0
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