Research Article
Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques
Table 4
Feature score using FST2.
| Order | Feature | Feature name | Code | Scores |
| 1 | 8 | Thalach | MHR | 188.32 | 2 | 10 | Oldpeak | OP | 72.64 | 3 | 12 | ca | NMV | 70.89 | 4 | 3 | cp | CPT | 62.60 | 5 | 9 | exang | EIA | 38.91 | 6 | 5 | chol | CM | 23.94 | 7 | 1 | Age | AGE | 23.29 | 8 | 4 | trestbps | RBP | 14.82 | 9 | 11 | Slope | PES | 9.80 | 10 | 2 | Sex | SEX | 7.58 | 11 | 13 | thal | TS | 5.90 | 12 | 7 | restecg | REC | 2.98 | 13 | 6 | fbs | FBS | 0.20 |
|
|