Table 5 AFibNet performance with tenfold cross validation for two-class
From: AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Fold | Classifier performances (%) | ||||
|---|---|---|---|---|---|
Accuracy | Sensitivity | Specificity | F1-score | Precision | |
1 | 98.22 | 98.24 | 98.24 | 97.98 | 97.74 |
2 | 99.94 | 99.94 | 99.94 | 99.93 | 99.93 |
3 | 99.98 | 99.98 | 99.98 | 99.97 | 99.97 |
4 | 100 | 100 | 100 | 100 | 100 |
5 | 99.96 | 99.97 | 99.97 | 99.95 | 99.94 |
6 | 99.98 | 99.98 | 99.98 | 99.97 | 99.97 |
7 | 99.94 | 99.94 | 99.94 | 99.93 | 99.93 |
8 | 100 | 100 | 100 | 100 | 100 |
9 | 100 | 100 | 100 | 100 | 100 |
10 | 99.98 | 99.98 | 99.98 | 99.97 | 99.97 |
Average | 99.8 | 99.8 | 99.8 | 99.77 | 99.74 |