Research Article
A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification
Table 9
Accuracies (%) of classifiers obtained in experiment 4.
| Classifier | Normal | Erratic | Drift | Hardover | Spike | Stuck | Total |
| DI-SVM | 98.33 | 100.00 | 100.00 | 100.00 | 98.88 | 99.44 | 99.44 | SVM | 93.61 | 99.16 | 99.72 | 99.72 | 97.22 | 97.77 | 97.87 | NN | 98.61 | 98.33 | 98.05 | 93.33 | 88.61 | 90.27 | 94.53 | KNN | 83.33 | 92.77 | 74.72 | 83.33 | 98.05 | 83.33 | 85.92 |
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