Table 5 Performance evaluation of selected models.
Models | Sensitivity (%) | Specificity (%) | Accuracy (%) | F1-score (%) | ROC (%) |
|---|---|---|---|---|---|
Performance of each deep learning models | |||||
CNN | 96.0 | 87.0 | 92.0 | 91.0 | 96.0 |
LSTM | 96.15 | 80.0 | 89.47 | 87.34 | 97.0 |
DNN | 93.0 | 93.0 | 95.0 | 93.0 | 95.0 |
FNN | 94.0 | 96.0 | 96.0 | 95.0 | 98.0 |
Performance of each machine learning models | |||||
RF | 99.9 | 100 | 99.0 | 99.0 | 99.0 |
KNN | 70.0 | 94.0 | 86.0 | 80.0 | 83.0 |
XGB | 94.0 | 95.0 | 95.0 | 95.0 | 95.0 |
SVM | 29.0 | 94.0 | 71.0 | 44.0 | 64.0 |
