Research Article
Blockchain-Based Internet of Things: Machine Learning Tea Sensing Trusted Traceability System
Table 10
Classification performance of different algorithms.
| Classification models | Modeling time | Accuracy | Precision | Recall | F1-score | AUC |
| GBDT | 0.61 | 0.99 | 1.00 | 0.86 | 0.92 | 0.98 | AdaBoost | 0.21 | 0.98 | 1.00 | 0.71 | 0.90 | 0.91 | XGBoost | 0.11 | 0.97 | 0.83 | 0.54 | 0.65 | 0.86 | RF | 0.73 | 0.96 | 1.00 | 0.61 | 0.76 | 0.99 | LR | 19.33 | 0.91 | 0.52 | 0.50 | 0.51 | 0.82 | KNN | 0.49 | 0.92 | 0.71 | 0.18 | 0.29 | 0.76 |
|
|