Table 17 Comparison of the proposed system outcome with previous researches for Statlog dataset
From: A hybrid cost-sensitive ensemble for heart disease prediction
Author | Method | Recall (%) | Specificity (%) |
|---|---|---|---|
Present study | Ensemble classifier | 92.15 | 93.21 |
Marateb and Goudarzi [60] | Naive Bayes | 78.51 | 88.74 |
Bashir et al. [41] | BagMOOV | 73.47 | 91.01 |
Ceylan and Koyuncu [61] | PSO\(^{*}\) neural network | 80.83 | 89.33 |
Mokeddem and Ahmed [47] | Fuzzy classification model | 89.17 | 84.00 |
Das et al. [25] | Neural network ensemble | 80.95 | 95.91 |
Xiao et al. [62] | Heuristic Rough Set | 92.33 | 87.50 |
Bashir et al. [26] | Ensemble model | 87.50 | 87.27 |