Table 19 Performance of proposed model and state-of-the-art models.
Refs. | Dataset | Model | Performance metric (in %) | |||||
|---|---|---|---|---|---|---|---|---|
Accuracy | Precision | Sensitivity | Specificity | F1 Score | AUC | |||
Cleveland | DNN | 93.33 | – | 87.8 | 91.83 | - | 94 | |
Cleveland, Hungarian, Switzerland, Long Beach VA | DNN | 83.03 | – | 90.9 | 69.27 | 87.37 | – | |
Cleveland | HRFLM | 88.4 | 90.1 | 92.8 | 82.6 | 90 | - | |
Cleveland | RF + FAMD | 93.44 | – | 89.28 | 96.96 | 92.59 | 93.12 | |
Heart-failure- clinical-records- dataset | KNN | 90.78 | – | – | – | – | – | |
Heart-failure- clinical-records- dataset | ETC | 92.62 | 93 | 93 | – | 93 | – | |
Cleveland | FCMIM + SVM | 92.37 | – | 89 | 98 | - | – | |
Z-Alizadeh Sani dataset | GNB | 95.43 | – | 95.84 | 94.44 | 96.77 | – | |
Statlog | GNB | 93.3 | – | 89.2 | 96.7 | 92.1 | – | |
Cardiovascular disease dataset | GNB | 73.2 | – | 69.3 | 77 | 71.9 | – | |
CHD dataset | LightGBM | 93 | 96.3 | 89.7 | 96.3 | 92.9 | 97.8 | |
Proposed | Heart disease Dataset (Comprehensive) | XGBoost | 97.3 | 97 | 98 | 98 | 98 | 98 |
Superior model | XGBoost | XGBoost | XGBoost | XGBoost, FCMIM + SVM | XGBoost | XGBoost | ||
