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Table 32 Classification results for the keylogging 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 0.99624 0.00218 0.99987 0.00025
DT 0.99605 0.00225 0.99484 0.00229
Light GBM 0.99643 0.00218 0.99925 0.00131
LR 0.99415 0.00234 0.99718 0.00282
MLP 0.99574 0.00236 0.99875 0.00145
NB 0.99191 0.00201 0.97511 0.00533
RF 0.99573 0.00219 0.99978 0.00040
XGBoost 0.99608 0.00210 0.99957 0.00069