From: Enhanced character-level deep convolutional neural networks for cardiovascular disease prediction
Model | k | Accuracy% | Precision% | Recall% | F-score% |
---|---|---|---|---|---|
1 | 93.91 | 93.87 | 93.91 | 93.89 | |
EnDCNN | 7 | 95.22 | 95.14 | 95.22 | 95.16 |
14 | 94.35 | 94.31 | 94.35 | 94.32 | |
3 | 93.91 | 93.83 | 93.91 | 93.86 | |
EnDCNN(no labels) | 4 | 89.57 | 90.19 | 89.57 | 89.87 |
5 | 86.52 | 86.41 | 86.52 | 86.47 | |
SVM(raw) | 90.91 | 90.91 | 90.91 | 90.91 | |
SVM(no labels) | 89.39 | 89.03 | 89.39 | 89.21 | |
ConvNets(raw) | 92.83 | 92.64 | 92.83 | 92.73 | |
LSTM(raw) | 92.24 | 93.46 | 92.73 | 93.09 | |
LSTM(risks with labels) | 82.58 | 81.35 | 83.01 | 82.17 |