Table 8 Methods
ML methods | Feature extraction technique | Training AC (%) | Binary AC (%) | Multiclass AC (%) |
|---|---|---|---|---|
DT [24] | IG | – | – | 57.01 |
J48 [25] | PSO-FO-GO-GA | 90.48 | – | – |
SVM [25] | PSO-FO-GO-GA | 90.11 | – | – |
RF [26] | FI | – | – | 75.56 |
Bagging Forest [27] | PSO-GA-ACO | 91.27 | – | – |
RF [28] | IG | – | 85.78 | – |
RepTree [29] | IGC | – | 88.95 | – |
IELM [30] | APCA | – | – | 75.36 |
DBN [31] | Corr. | – | 85.73 | – |
CNN-BiLSTM [32] | O-SS-SMOS | – | – | 77.16 |
DT | XGBoost | 94.12 | 90.85 | 67.57 |
ANN | XGBoost | 94.21 | 84.39 | 77.51 |
LR | XGBoost | 89.20 | 77.64 | 65.29 |
kNN | XGBoost | 95.86 | 84.46 | 72.30 |
SVM | XGBoost | 75.42 | 60.89 | 53.95 |