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Table 36 Maximum AUPRC by classifier for the keylogging 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 6 Agree 0.99836 0.00166
CatBoost 6 Agree 0.99988 0.00022
DT Tuned 4 Agree 0.99773 0.00166
Light GBM RUS 1:1 6 Agree 0.99965 0.00048
RF RUS 1:3 4 Agree 0.99972 0.00051
MLP RUS 1:1 7 Agree 0.99891 0.00102
NB RUS 1:1 7 Agree 0.98416 0.00628
XGBoost 4 Agree 0.99959 0.00064