Research Article
Improvement of Roller Bearing Diagnosis with Unlabeled Data Using Cut Edge Weight Confidence Based Tritraining
Table 6
Classification error rate of initial and final hypothesis and the corresponding improvements of self-training under different unlabeling rate.
| Case | Unlabeling rate of 0.8 | Unlabeling rate of 0.6 | Unlabeling rate of 0.4 | Unlabeling rate of 0.2 | Initial | Final | Improvement | Initial | Final | Improvement | Initial | Final | Improvement | Initial | Final | Improvement |
| Case 1 | 0.3353 | 0.2933 | 12.53% | 0.2168 | 0.2033 | 6.23% | 0.1002 | 0.0933 | 6.89% | 0.0417 | 0.0454 | ā8.15% |
| Case 2 | 0.4737 | 0.4058 | 14.33% | 0.4037 | 0.3658 | 9.39% | 0.3158 | 0.2632 | 16.66% | 0.2811 | 0.2648 | 5.80% |
|
|