Table 10.
3 Folds Average CNN test results using PhysioNet dataset.
| Average | Accuracy | TPR (Sensitivity) | Precision (PPV) | TNR (Specificity) |
|---|---|---|---|---|
| VGG16 | 0.966 | 0.930 | 0.946 | 0.930 |
| VGG19 | 0.970 | 0.946 | 0.944 | 0.946 |
| Xception | 0.828 | 0.877 | 0.732 | 0.877 |
| ResNet152V2 | 0.824 | 0.873 | 0.730 | 0.873 |
| ResNet152 | 0.490 | 0.667 | 0.640 | 0.667 |
| ResNet101V2 | 0.438 | 0.665 | 0.422 | 0.665 |
| ResNet101 | 0.690 | 0.592 | 0.812 | 0.592 |
| ResNet50v2 | 0.698 | 0.736 | 0.728 | 0.736 |
| ResNet50 | 0.620 | 0.763 | 0.685 | 0.763 |
| NasNetMobile | 0.203 | 0.489 | 0.350 | 0.489 |
| MobileNetV2 | 0.228 | 0.497 | 0.526 | 0.497 |
| MobileNet | 0.671 | 0.679 | 0.673 | 0.679 |
| Inceptionv3 | 0.659 | 0.791 | 0.686 | 0.791 |
| InceptionResNetV2 | 0.863 | 0.908 | 0.765 | 0.908 |
| DenseNet201 | 0.571 | 0.725 | 0.719 | 0.725 |
| DenseNet169 | 0.493 | 0.675 | 0.606 | 0.675 |
| DenseNet121 | 0.601 | 0.734 | 0.714 | 0.734 |