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Performance of FCSO, FKH, and FBFO classifiers and super learner on Cleveland heart disease dataset.
| Feature selection algorithm | Size of feature subset | TN | FP | FN | TP | Accuracy | Sensitivity | Specificity | Precision | F-score |
|---|---|---|---|---|---|---|---|---|---|---|
| CSO | 6 | 60 | 8 | 12 | 42 | 83.61 | 77.78 | 88.24 | 84.00 | 0.81 |
| KH | 10 | 56 | 12 | 11 | 43 | 81.15 | 79.63 | 82.35 | 78.18 | 0.79 |
| BFO | 11 | 53 | 15 | 13 | 41 | 77.05 | 75.93 | 77.94 | 73.21 | 0.75 |
| Super learner | — | 13 | 2 | 2 | 8 | 84.00 | 80.00 | 86.67 | 80.00 | 0.80 |
