Research Article
A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification
Table 5
Accuracies (%) of classifiers obtained in experiment 2.
| Classifier | Normal | Erratic | Drift | Hardover | Spike | Stuck | Total |
| SVM | 40.83 | 90.27 | 84.44 | 86.94 | 93.33 | 85.83 | 80.27 | NN | 83.33 | 60.00 | 71.11 | 82.22 | 77.22 | 83.33 | 76.20 | KNN | 53.33 | 81.66 | 65.00 | 83.05 | 80.27 | 83.33 | 74.44 |
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