Research Article
Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks against Two Objective Functions Using a Novel Dataset
| | RSME | MAPE (%) | ROC average | Correctly classified instances (%) | Balancing technique average (%) |
| ZeroR | N/A | N/A | N/A | 20.59 | 20.59 |
| SMOTE–NB | 0.23 | 24.22 | 0.98 | 84.31 | 87.99 | SMOTE–SVM | 0.27 | 22.01 | 0.89 | 82.35 | SMOTE–MLP | 0.16 | 10.15 | 0.99 | 93.14 | SMOTE–RF | 0.16 | 20.48 | 0.99 | 92.16 |
| Subsample–NB | 0.32 | 41.90 | 0.88 | 68.00 | 65.00 | Subsample–SVM | 0.51 | 79.83 | 0.64 | 36.00 | Subsample–MLP | 0.29 | 31.20 | 0.91 | 76.00 | Subsample–RF | 0.28 | 55.86 | 0.94 | 80.00 |
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