Research Article
A Condition Monitoring Method of Hydraulic Gear Pumps Based on Multilevel Mechanism-Data Fusion
Table 6
Results of cross-validation of SVC models.
| Kernel | Channel | Hyperparameters | Accuracy | Precision | Recall | F1-score | Successful proportion |
| SVC1 linear kernel | | | 0.8519 | 0.9 | 0.75 | 0.8182 | 25/27 | | | 0.8889 | 0.8462 | 0.9167 | 0.8800 | | | 0.8889 | 0.8462 | 0.9167 | 0.8800 | Voted | / | 0.9259 | 0.9167 | 0.9167 | 0.9167 |
| SVC2 polynomial kernel | |
| 0.7407 | 0.7273 | 0.6667 | 0.6957 | 22/27 | |
| 0.8889 | 0.8462 | 0.9167 | 0.8800 | |
| 0.8519 | 0.7857 | 0.9167 | 0.8462 | Voted | / | 0.8148 | 0.7692 | 0.8333 | 0.8 |
| SVC3 Gaussian kernel | |
| 0.8519 | 1.0 | 0.6667 | 0.8 | 23/27 | |
| 0.8889 | 0.8462 | 0.9167 | 0.8800 | |
| 0.8519 | 0.8333 | 0.8333 | 0.8333 | Voted | / | 0.8519 | 0.8333 | 0.8333 | 0.8333 |
| SVC4 sigmoid kernel | |
| 0.8519 | 0.8333 | 0.8333 | 0.8333 | 23/27 | |
| 0.9259 | 1.0 | 0.8333 | 0.9091 | |
| 0.8519 | 0.8333 | 0.8333 | 0.8333 | Voted | / | 0.8519 | 0.8333 | 0.8333 | 0.8333 |
| SVC5 Laplacian kernel | |
| 0.8148 | 0.8889 | 0.6667 | 0.7619 | 23/27 | |
| 0.8519 | 0.8333 | 0.8333 | 0.8333 | |
| 0.8889 | 0.8462 | 0.9167 | 0.8800 | Voted | / | 0.8519 | 0.8333 | 0.8333 | 0.8333 |
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