Table 4.
Techniques | Accuracy | Precision | Recall |
---|---|---|---|
OP-DNN (Proposed) | 95 | 92 | 93 |
KNN | 78 | 82.6 | 85.7 |
Naive Bayes | 67.6 | 65.3 | 67.5 |
Random Forest (RF) | 84.8 | 82.4 | 84.8 |
MLP | 91.6 | 86.9 | 91.6 |
CNN | 93.8 | 90.2 | 92.2 |
LSTM | 89.3 | 87.6 | 88.5 |
Techniques | Accuracy | Precision | Recall |
---|---|---|---|
OP-DNN (Proposed) | 95 | 92 | 93 |
KNN | 78 | 82.6 | 85.7 |
Naive Bayes | 67.6 | 65.3 | 67.5 |
Random Forest (RF) | 84.8 | 82.4 | 84.8 |
MLP | 91.6 | 86.9 | 91.6 |
CNN | 93.8 | 90.2 | 92.2 |
LSTM | 89.3 | 87.6 | 88.5 |