Classification on Heart Disease Dataset II (test)
97.1AccuracyHyCARD-Net (CNN–LSTM + KNN + XGB)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HyCARD-Net (CNN–LSTM + KNN + XGB)Group=Proposed model2026.01 | 97.1 | 95.5 | 95.2 | 96.8 | |
| RF + DT + NB + LRGroup=Combinational ML2026.01 | 94.5 | 92.1 | 93.1 | 92.9 | |
| CNN–LSTMGroup=Combinational DL2026.01 | 94.45 | 94.7 | 94.9 | 94.7 | |
| KNNGroup=Machine learning2026.01 | 94.35 | 94.5 | 94.8 | 94.6 | |
| RF + DT + KNN + NB + SVM + LGBM + XGB + MLP + LRGroup=Combinational ML2026.01 | 94.3 | 93.5 | 93.2 | 93.4 | |
| XGBGroup=Ensemble-based2026.01 | 94.1 | 94 | 93.8 | 94 | |
| CNNGroup=Deep learning2026.01 | 93.8 | 93.6 | 93.7 | 93.5 | |
| MLPGroup=Machine learning2026.01 | 93.5 | 93.6 | 93.4 | 93.7 | |
| LGBMGroup=Ensemble-based2026.01 | 92.8 | 93.7 | 93.5 | 93.2 | |
| RFGroup=Machine learning2026.01 | 91.9 | 92.1 | 92.3 | 92.4 | |
| DTGroup=Machine learning2026.01 | 91.75 | 92.6 | 92.4 | 92.7 | |
| LRGroup=Machine learning2026.01 | 91.7 | 91.8 | 91.6 | 92.1 | |
| AdaBoostGroup=Ensemble-based2026.01 | 91.5 | 92.7 | 92.4 | 92.8 | |
| LSTMGroup=Deep learning2026.01 | 91.5 | 92.6 | 92.8 | 92.7 | |
| SVMGroup=Machine learning2026.01 | 90.8 | 91.5 | 91.4 | 91.7 | |
| NBGroup=Machine learning2026.01 | 90.5 | 90.2 | 91 | 91.4 |