Research Article
Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner
Table 13
Performance of FCSO, FKH, and FBFO classifiers and super learner on vertebral column dataset.
| Feature selection algorithm | Size of feature subset | TN | FP | FN | TP | Accuracy | Sensitivity | Specificity | Precision | -score |
| CSO | 3 | 74 | 10 | 17 | 63 | 83.54 | 78.75 | 88.10 | 86.30 | 0.82 | KH | 3 | 81 | 3 | 13 | 67 | 90.24 | 83.75 | 96.43 | 95.71 | 0.89 | BFO | 2 | 80 | 4 | 17 | 63 | 87.20 | 78.75 | 95.24 | 94.03 | 0.86 | Super learner | ā | 19 | 2 | 4 | 8 | 81.82 | 66.67 | 90.48 | 80.00 | 0.73 |
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