Table 6.
Results of classification incorporating BOA feature selection on the HAM10000 dataset.
| Classifiers | Accuracy (%) |
Recall (%) |
Precision (%) |
F1 Score | FNR | Time (sec) |
|---|---|---|---|---|---|---|
| Narrow NN | 98.8 | 98.95 | 98.95 | 98.95 | 1.05 | 140.77 |
| Medium NN | 98.9 | 99.02 | 99.04 | 99.02 | 0.98 | 121.21 |
| Wide NN | 99.0 | 99.1 | 99.11 | 99.10 | 0.9 | 175.26 |
| Bilayered NN | 98.8 | 98.97 | 98.95 | 98.95 | 1.02 | 230.11 |
| Quadratic SVM | 99.2 | 99.24 | 99.31 | 99.27 | 0.76 | 607.27 |
| Cubic SVM | 99.2 | 99.27 | 99.32 | 99.29 | 0.73 | 636.27 |
| Coarse Gaussian SVM | 98.8 | 98.94 | 99.01 | 98.97 | 1.06 | 997.09 |
| Fine KNN | 99.3 | 99.38 | 99.4 | 99.38 | 0.62 | 939.93 |
| Ensemble Bagged Tree | 98.7 | 98.87 | 98.88 | 98.87 | 1.13 | 211.26 |
| Fine Tree | 94.5 | 99.38 | 99.4 | 99.38 | 0.62 | 54.197 |
Bold show the significant value.