From: Machine learning-based identification of patients with a cardiovascular defect
Performance evaluation (%) | Our approach UCI heart dataset | SVM Model Previous work [8] | BN Model Previous work [8] | LR Model Previous work [32] | KNN Model Previous work [32] | SVM Model Previous work [32] | DT Model Previous work [32] | RF Model Previous work [32] | SVM Model Previous work [33] | RF Model Previous work [33] |
---|---|---|---|---|---|---|---|---|---|---|
Accuracy | 95,83 | 57 | 52 | 90,16 | 91,80 | 90,16 | 86,89 | 85,25 | 88,9823 | 88,9812 |
Specificity | 94,59 | 87 | 86 | Â | Â | Â | Â | Â | Â | Â |
Precision | 97 | Â | Â | 93,33 | 93,55 | 93,33 | 85,29 | 87,10 | Â | Â |
Recall | 95 | Â | Â | 87,50 | 90,62 | 87,50 | 90,62 | 84,38 | Â | Â |
F-measure | 96 | Â | Â | 90,32 | 92,06 | 90,32 | 87,88 | 85,71 | Â | Â |