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% |