Table 2.
Performance Results of the Selected Models Developed with Chiang et al. Dataset
Fault | Optimal feature subset size | AUC | Accuracy | Detection rate | False negative rate | False alarm rate | Latency (min) |
---|---|---|---|---|---|---|---|
1* | 2 | 100.0 | 99.9 | 99.9 | 0.1 | 0.0 | 6 |
2* | 5 | 99.5 | 98.1 | 97.8 | 2.3 | 0.0 | 57 |
3 | 13 | 62.0 | 67.8 | 72.1 | 27.9 | 53.8 | 3 |
4 | 1 | 100.0 | 100.0 | 100.0 | 0.0 | 0.0 | 3 |
5 | 4 | 100.0 | 99.9 | 99.9 | 0.1 | 0.0 | 6 |
6 | 2 | 100.0 | 100.0 | 100.0 | 0.0 | 0.0 | 3 |
7* | 3 | 100.0 | 100.0 | 100.0 | 0.0 | 0.0 | 3 |
8 | 7 | 99.4 | 96.5 | 95.8 | 4.3 | 0.0 | 60 |
9 | 17 | 66.3 | 65.2 | 69.0 | 31.0 | 53.8 | 3 |
10* | 14 | 90.2 | 83.3 | 85.8 | 14.3 | 28.8 | 12 |
11 | 29 | 84.9 | 86.8 | 96.6 | 3.4 | 62.5 | 3 |
12 | 9 | 99.9 | 95.7 | 100.0 | 0.0 | 25.6 | 3 |
13* | 7 | 98.2 | 93.2 | 91.9 | 8.1 | 0.0 | 153 |
14 | 3 | 100.0 | 100.0 | 100.0 | 0.0 | 0.0 | 3 |
15 | 27 | 75.6 | 67.2 | 65.5 | 34.5 | 24.4 | 3 |
16 | 5 | 86.9 | 87.7 | 96.9 | 3.1 | 58.1 | 3 |
17 | 32 | 99.5 | 94.1 | 92.9 | 7.1 | 0.0 | 72 |
18 | 34 | 94.4 | 91.7 | 90.0 | 10.0 | 0.0 | 231 |
19 | 2 | 29.8 | 75.4 | 88.5 | 11.5 | 90.0 | 3 |
20 | 14 | 94.5 | 86.8 | 85.0 | 15.0 | 4.4 | 45 |
21* | 1 | 99.7 | 100.0 | 100.0 | 0.0 | 0.6 | 3 |
Imply that the end-model is selected for online implementation.