Table 3.
Comparative analysis of the proposed model.
| S. No. | Algorithm | Accuracy |
|---|---|---|
| 1 | SVM | 93.08% |
| 2 | Naive Bayes | 82.58% |
| 3 | Random Forest | 93.08% |
| 4 | MLP | 93.08% |
| 5 | AdaBoost | 93.08% |
| 6 | Faster R-CNN | 99% |
Comparative analysis of the proposed model.
| S. No. | Algorithm | Accuracy |
|---|---|---|
| 1 | SVM | 93.08% |
| 2 | Naive Bayes | 82.58% |
| 3 | Random Forest | 93.08% |
| 4 | MLP | 93.08% |
| 5 | AdaBoost | 93.08% |
| 6 | Faster R-CNN | 99% |