Research Article
A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification
Table 4
Accuracies (%) of classifiers obtained in experiment 1.
| Classifier | Normal | Erratic | Drift | Hardover | Spike | Stuck | Total |
| SVM | 43.05 | 85.55 | 92.50 | 95.83 | 85.83 | 83.33 | 81.01 | NN | 83.33 | 63.05 | 75.55 | 86.11 | 81.38 | 83.33 | 78.79 | KNN | 70.83 | 63.05 | 82.77 | 83.61 | 92.50 | 83.88 | 79.44 |
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