Research Article
An Efficient Machine Learning Model Based on Improved Features Selections for Early and Accurate Heart Disease Predication
| Classifier | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | MCC (%) | Time complexity (sec) |
| SVM | 1 | 97 | 96 | 98 | 97 | 94 | 4.4 | 0 | 98 | 98 | 96 | 97 | 96 | Overall | 97.5 | 97 | 97 | 97 | 95 | KNN | 1 | 95 | 92 | 98 | 95 | 90 | 7.3 | 0 | 95 | 98 | 92 | 95 | 87 | Overall | 95 | 95 | 95 | 95 | 88.5 | LR | 1 | 93 | 93 | 94 | 93 | 87 | 8 | 0 | 93 | 94 | 93 | 93 | 88 | Overall | 93 | 93.5 | 93.5 | 93 | 87.5 | DT | 1 | 90 | 90 | 93 | 91 | 81 | 11 | 0 | 90 | 91 | 88 | 90 | 84 | Overall | 90 | 90.5 | 90.5 | 90.5 | 82.5 | NB | 1 | 88 | 90 | 86 | 88 | 76 | 13.9 | 0 | 88 | 86 | 89 | 88 | 75 | Overall | 88 | 88 | 87.5 | 88 | 75.5 | RF | 1 | 89 | 92 | 87 | 89 | 78 | 10 | 0 | 89 | 86 | 92 | 88 | 81 | Overall | 89 | 89 | 89.5 | 88.5 | 79.5 | SGD | 1 | 90 | 85 | 95 | 90 | 82 | 12 | 0 | 90 | 96 | 87 | 91 | 84 | Overall | 90 | 91.5 | 91 | 90.5 | 83 |
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