The following data are the results of a classification analysis. The output includes the validation output Ytrue and predicted classifications obtained with three trained classification algorithms termed Y1, Y2 and Y3. Ytrue Y1 Y2 Y3 1 0 0 1 1 2 0 0 0 0 3 1 1 0 0 4 1 1 0 1 5 1 1 0 0 6 1 1 0 1 7 0 0 1 8 1 1 0 1 9 1 1 0 1 10 1 1 0 1 11 1 0 0 0 12 0 0 1 1 13 1 1 0 0 14 1 1 0 1 15 1 1 0 1 16 0 0 1 0 17 0 1 0 1 18 0 0 1 1 a) Analyze the performance of the classifier Y2. To this end, using the given data compute and report the usual figures TN, FP, FN and TP of the confusion matrix as well as the performance measures TPR and FPR. Briefly comment on the performance of this classifier. b) Repeat the items in a) for the classifier Y1. c) Compare the two classifiers.
The following data are the results of a classification analysis. The output includes the validation output Ytrue and predicted classifications obtained with three trained classification algorithms termed Y1, Y2 and Y3. Ytrue Y1 Y2 Y3 1 0 0 1 1 2 0 0 0 0 3 1 1 0 0 4 1 1 0 1 5 1 1 0 0 6 1 1 0 1 7 0 0 1 8 1 1 0 1 9 1 1 0 1 10 1 1 0 1 11 1 0 0 0 12 0 0 1 1 13 1 1 0 0 14 1 1 0 1 15 1 1 0 1 16 0 0 1 0 17 0 1 0 1 18 0 0 1 1 a) Analyze the performance of the classifier Y2. To this end, using the given data compute and report the usual figures TN, FP, FN and TP of the confusion matrix as well as the performance measures TPR and FPR. Briefly comment on the performance of this classifier. b) Repeat the items in a) for the classifier Y1. c) Compare the two classifiers.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Question
![The following data are the results of a classification analysis. The output includes the validation output Ytrue and predicted
classifications obtained with three trained classification algorithms termed Y1, Y2 and Y3.
Ytrue
Y1
Y2 Y3
1
0
0
1
1
2
0
0
0
0
3
1
1
0
0
4
1
1
0
1
5
1
1
0
0
6
1
1
0
1
7
0
0
1
8
1
1
0
1
9
1
1
0
1
10
1
1
0
1
11
1
0
0
0
12
0
0
1
1
13
1
1
0
0
14
1
1
0
1
15
1
1
0
1
16
0
0
1
0
17
0
1
0
1
18
0
0
1
1
a) Analyze the performance of the classifier Y2. To this end, using the given data compute and report the usual figures TN, FP, FN and
TP of the confusion matrix as well as the performance measures TPR and FPR. Briefly comment on the performance of this classifier.
b) Repeat the items in a) for the classifier Y1.
c) Compare the two classifiers.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F86af0381-ff17-4dc4-9736-0b56a5073919%2F595c6a3c-c80e-4bee-a489-acffcf043df1%2Fgi48mfm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The following data are the results of a classification analysis. The output includes the validation output Ytrue and predicted
classifications obtained with three trained classification algorithms termed Y1, Y2 and Y3.
Ytrue
Y1
Y2 Y3
1
0
0
1
1
2
0
0
0
0
3
1
1
0
0
4
1
1
0
1
5
1
1
0
0
6
1
1
0
1
7
0
0
1
8
1
1
0
1
9
1
1
0
1
10
1
1
0
1
11
1
0
0
0
12
0
0
1
1
13
1
1
0
0
14
1
1
0
1
15
1
1
0
1
16
0
0
1
0
17
0
1
0
1
18
0
0
1
1
a) Analyze the performance of the classifier Y2. To this end, using the given data compute and report the usual figures TN, FP, FN and
TP of the confusion matrix as well as the performance measures TPR and FPR. Briefly comment on the performance of this classifier.
b) Repeat the items in a) for the classifier Y1.
c) Compare the two classifiers.
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