Research Article
Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method
Table 10
Comparison of the results of proposed model with various other state-of-the-art algorithms [
18,
20,
24,
36,
38].
| Compared algorithms | Accuracy (%) |
| KNN and NB [36] | 89.5 | Boosting [37] | 85.2 | XGBoost and LR [18] | 85.68 | ANFSI and ANN [20] | 87.04 | Ensemble learning (gradient boosted) [24] | 84 | Bagging ensemble learning method with decision tree | 98.6 |
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