Research Article
Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases
Table 6
Performance comparison of tested classifiers for patient risk identification system (Acc for accuracy, Pre for precision, and F1 for F1-score).
| Classifier | Acc | Pre | Recall | F1 | Mean absolute error (MAE) | Root mean square error (RMSE) |
| Random forest | 83 | 75 | 83 | 77 | 0.172 | 0.42 | Logistic regression | 88 | 70 | 84 | 76 | 0.163 | 0.404 | Decision tree | 74 | 74 | 74 | 74 | 0.257 | 0.507 | K-nearest neighbor | 82 | 73 | 82 | 76 | 0.18 | 0.425 | Support vector machine | 84 | 70 | 84 | 76 | 0.163 | 0.404 | XGBoost | 79 | 73 | 79 | 76 | 0.209 | 0.457 |
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