Table 2.
Performance evaluation of classification model.
| Attributes | Accuracy (%) | Sensitivity (%) | Specificity (%) | F-score (%) | ||||
|---|---|---|---|---|---|---|---|---|
| SVM | MLP | SVM | MLP | SVM | MLP | SVM | MLP | |
| Pump | 86.66 | 76.66 | 81.81 | 77.27 | 100 | 75 | 95.74 | 86.73 |
| Light | 96.66 | 70 | 100 | 89.47 | 90.90 | 36.36 | 95.95 | 73.91 |
| Fan | 90 | 83.33 | 94.11 | 82.35 | 84.61 | 84.61 | 89.88 | 86.41 |