Research Article
City-Wide NB-IoT Network Monitoring and Diagnosing
Table 3
Prediction results using different ML methods.
| Problem | ML technique | Accuracy | Recall | Precision | -score |
| RACH delay | C4.5 | 0.81 | 0.81 | 0.81 | 0.81 | Random forest | 0.93 | 0.93 | 0.93 | 0.93 | SVM | 0.90 | 0.91 | 0.90 | 0.89 | Logistical | 0.84 | 0.85 | 0.85 | 0.84 | Ping delay | C4.5 | 0.79 | 0.79 | 0.79 | 0.79 | Random forest | 0.92 | 0.92 | 0.92 | 0.92 | SVM | 0.90 | 0.91 | 0.90 | 0.89 | Logistical | 0.83 | 0.84 | 0.84 | 0.84 | MAC UL Tput | C4.5 | 0.80 | 0.80 | 0.80 | 0.80 | Random forest | 0.93 | 0.93 | 0.93 | 0.93 | SVM | 0.90 | 0.91 | 0.91 | 0.90 | Logistical | 0.85 | 0.84 | 0.84 | 0.85 |
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