Skip to main content

Table 5 Maximum AUC by classifier for the information theft attack type; mean and standard deviations of AUC, (10 iterations of 5-fold cross-validation)

From: IoT information theft prediction using ensemble feature selection

Experiment name Mean SD
AUC AUC
LR Tuned 7 Agree 0.99504 0.00218
CatBoost RUS 1:3 5 Agree 0.99838 0.00131
DT 4 Agree 0.99589 0.00199
Light GBM RUS 1:1 6 Agree 0.99757 0.00192
RF RUS 1:1 4 Agree 0.99732 0.00182
MLP Tuned 6 Agree 0.99537 0.00242
NB 7 Agree 0.99324 0.00203
XGBoost RUS 1:1 4 Agree 0.99731 0.00169