Table 4 Comparative analysis of TTOS-RAAM approach with recent models.
Classifier | Accuy | Sensy | Specy | Fscore |
---|---|---|---|---|
Modified Bi-LSTM | 98.36 | 94.84 | 98.68 | 96.94 |
LSTM Classifier | 98.80 | 95.45 | 98.87 | 94.73 |
GRU Model | 98.98 | 95.65 | 99.30 | 94.56 |
DNN Algorithm | 99.20 | 98.00 | 99.20 | 96.24 |
Bi-LSTM Model | 99.37 | 94.90 | 99.63 | 94.85 |
MLP Algorithm | 99.40 | 94.39 | 99.40 | 96.69 |
DIS-IoT Model | 99.70 | 95.84 | 99.70 | 97.61 |
CNN Model | 95.07 | 93.09 | 93.56 | 95.14 |
SVM | 96.68 | 94.66 | 95.29 | 96.67 |
XGBoost | 98.25 | 96.41 | 96.99 | 98.37 |
TTOS-RAAM | 99.91 | 98.74 | 99.90 | 98.11 |