Research Article
Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine
Table 3
Comparing classification report on test data.
| Method | Precision | Recall | F1-score | Support |
| Random forest | 0.87 | 0.85 | 0.86 | 55 | 0.78 | 0.80 | 0.79 | 35 |
| Multilayer Perceptron | 0.84 | 0.84 | 0.84 | 55 | 0.74 | 0.74 | 0.74 | 35 |
| Decision tree | 0.86 | 0.87 | 0.86 | 55 | 0.79 | 0.77 | 0.78 | 35 |
| Naïve Bayes | 0.90 | 0.85 | 0.88 | 55 | 0.79 | 0.82 | 0.82 | 35 |
| Logistic regression | 0.92 | 0.82 | 0.87 | 55 | 0.76 | 0.89 | 0.82 | 35 |
| Boosting SVM | 0.94 | 0.87 | 0.90 | 55 | 0.82 | 0.89 | 0.85 | 35 |
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