Table 21 Maximum AUPRC by classifier for the data exfiltration attack type; mean and standard deviations of AUPRC, (10 iterations of 5-fold cross-validation)
From: IoT information theft prediction using ensemble feature selection
Experiment name | Mean | SD |
|---|---|---|
AUPRC | AUPRC | |
LR Tuned RUS 1:9 6 Agree | 0.93654 | 0.06464 |
CatBoost 5 Agree | 0.99448 | 0.00784 |
DT Tuned 6 Agree | 0.96776 | 0.02877 |
Light GBM RUS 1:9 6 Agree | 0.99079 | 0.01350 |
RF 4 Agree | 0.99199 | 0.01341 |
MLP 4 Agree | 0.95897 | 0.04293 |
NB Tuned RUS 1:9 7 Agree | 0.84859 | 0.04161 |
XGBoost 5 Agree | 0.98823 | 0.01938 |