Table 4 LVH detection performances of machine learning models.
From: Left ventricular hypertrophy detection using electrocardiographic signal
Models | Accuracy | Precision | Sensitivity | Specificity |
|---|---|---|---|---|
Without ECG beat segmentation | ||||
 Decision Tree | 0.74 | 0.85 | 0.74 | 0.85 |
 BPN | 0.73 | 0.75 | 0.72 | 0.73 |
 K-means | 0.51 | 0.51 | 0.46 | 0.56 |
With ECG beat segmentation | ||||
 Decision Tree | 0.92 | 0.94 | 0.90 | 0.94 |
 BPN | 0.961 | 0.958 | 0.966 | 0.956 |
 K-means | 0.59 | 0.56 | 0.79 | 0.38 |
