From: IoT information theft prediction using ensemble feature selection
Experiment name | Mean | SD | Mean | SD |
---|---|---|---|---|
AUC | AUC | AUPRC | AUPRC | |
CatBoost | 0.99703 | 0.00199 | 0.99984 | 0.00027 |
DT | 0.99575 | 0.00216 | 0.99393 | 0.00275 |
Light GBM | 0.99670 | 0.00219 | 0.99936 | 0.00114 |
LR | 0.99285 | 0.00287 | 0.99691 | 0.00238 |
MLP | 0.99483 | 0.00261 | 0.99851 | 0.00155 |
NB | 0.99291 | 0.00254 | 0.97743 | 0.00523 |
RF | 0.99553 | 0.00235 | 0.99969 | 0.00056 |
XGBoost | 0.99649 | 0.00223 | 0.99958 | 0.00066 |