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| S. no | ML and DL Models | Accuracy |
|---|---|---|
| 1 | Linear SVM (LSVM) | 98% |
| 2 | Logistic Regression (LR) | 97% |
| 3 | Random Forest (RF) | 97% |
| 4 | K-Nearest Neighbor (KNN) | 85% |
| 5 | Naive Bayes (NB) | 70% |
| 6 | XGBoost (XGB) | 97% |
| 7 | Light GBM (LGBM) | 98% |
| 8 | Bagging (BAGG) | 98% |
| 9 | AlexNet | 98.23% |
| 10 | VGG-16 | 97.04% |
| 11 | ResNet-50 | 92.1% |
| 12 | DenseNet-121 (Without FT) | 99% |
| 13 | DenseNet-121(with FT) | 99.97% |
