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Table 6 Maximum AUPRC by classifier for the information theft 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 1:3 5 Agree 0.99872 0.00082
CatBoost Tuned 7 Agree 0.99986 0.00019
DT Tuned 6 Agree 0.99733 0.00169
Light GBM Tuned 7 Agree 0.99956 0.00058
RF RUS 1:3 6 Agree 0.99976 0.00042
MLP Tuned 7 Agree 0.99908 0.00108
NB Tuned RUS 1:1 7 Agree 0.97858 0.00625
XGBoost RUS 1:3 7 Agree 0.99964 0.00050