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 |