Research Article
A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms
Table 3
Features selected by Relief algorithm and their ranking.
| Order | Feature | Feature name | Feature code | Scores |
| 1 | 13 | Thallium scan | THA | 0.247 | 2 | 9 | Exercise-induced angina | EIA | 0.227 | 3 | 3 | Type of chest pain | CPT | 0.217 | 4 | 11 | Slope of the peak exercise ST segment | PES | 0.131 | 5 | 12 | Number of major vessels (0–3) colored by fluoroscopy | VCA | 0.128 | 6 | 8 | Maximum heart rate | MHR | 0.123 |
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