Research Article
A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification
Table 11
Accuracies (%) of classifiers obtained in experiment 5.
| Classifier | Normal | Erratic | Drift | Hardover | Spike | Stuck | Total |
| DI-SVM | 82.22 | 99.16 | 93.32 | 98.05 | 99.17 | 92.21 | 93.89 | SVM | 73.89 | 95.83 | 92.21 | 95.82 | 98.32 | 89.71 | 91.10 | NN | 88.32 | 88.60 | 94.71 | 89.71 | 91.10 | 94.72 | 91.19 | KNN | 61.38 | 82.21 | 76.39 | 79.17 | 81.39 | 83.32 | 77.30 |
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