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Table 2 Classification results for the information theft dataset no sampling default hyperparameter values experiments; mean and standard deviations of AUC and AUPRC, (10 iterations of 5-fold cross-validation)

From: IoT information theft prediction using ensemble feature selection

Experiment name Mean SD Mean SD
AUC AUC AUPRC AUPRC
CatBoost 0.99703 0.00199 0.99984 0.00027
DT 0.99575 0.00216 0.99393 0.00275
Light GBM 0.99670 0.00219 0.99936 0.00114
LR 0.99285 0.00287 0.99691 0.00238
MLP 0.99483 0.00261 0.99851 0.00155
NB 0.99291 0.00254 0.97743 0.00523
RF 0.99553 0.00235 0.99969 0.00056
XGBoost 0.99649 0.00223 0.99958 0.00066