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 |