Research Article
Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
| Feature selection category | Techniques | Maximum accuracy (%) | Number of features | Classification technique |
| Initial dataset | ā | 63.92 | 13 | KNN | Filter | ANOVA | 83.60 | 8 | RF | ANOVA | 83.60 | 8 | LR | Chi-square | 81.96 | 9 | DT | Chi-square | 81.96 | 10 | DT | Mutual information | 83.60 | 7 | LR | Relief | 83.60 | 7 | LR |
| Wrapper | FFS | 85.24 | 5 | RF | FFS | 85.24 | 5 | DT | BFS | 88.52 | 6 | DT | EFS | 83.60 | 4 | LR | RFE | 85.24 | 7 | KNN | RFE | 85.24 | 8 | RF |
| Embedded | Lasso | 81.96 | 11 | DT | Ridge | 83.60 | 5 | RF |
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