Research Article
Key Technology of Communication Equipment Fingerprint Recognition Based on Intelligent Feature Extraction Algorithm
Table 1
XGBoost measurement results and analysis.
| Mobile number | Number of samples to be tested | Evaluating indicator | Average recognition rate (%) | Rec | Spec | F1 | Acc | Sem | MCC |
| 1 | 1400 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 96.5 | 2 | 1400 | 0.9528 | 0.9954 | 0.9647 | 0.9883 | 0.9766 | 0.9577 | 3 | 1400 | 0.9071 | 0.9938 | 0.9362 | 0.9794 | 0.9673 | 0.9246 | 4 | 1400 | 0.9657 | 0.9757 | 0.9254 | 0.9740 | 0.8883 | 0.9108 | 5 | 1400 | 0.9707 | 0.9986 | 0.9816 | 0.9939 | 0.9927 | 0.9780 | 6 | 1400 | 0.9938 | 0.9942 | 0.9827 | 0.9941 | 0.9720 | 0.9793 |
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