Table 9.
Results of classification incorporating feature fusion of both deep models on the ISIC 2018.
| Classifiers | Accuracy (%) |
Recall (%) |
Precision (%) |
F1 Score | FNR | Time (sec) |
|---|---|---|---|---|---|---|
| Narrow NN | 89.2 | 81.6 | 83.87 | 82.7 | 18.84 | 263.41 |
| Medium NN | 90.2 | 83.22 | 84.25 | 83.72 | 16.78 | 129.93 |
| Wide NN | 90.4 | 84.54 | 84.72 | 84.62 | 15.46 | 158.44 |
| Bilayered NN | 89.2 | 80.51 | 80.91 | 80.7 | 19.49 | 447.38 |
| Quadratic SVM | 91.7 | 83.02 | 88.81 | 85.8 | 16.98 | 911.21 |
| Cubic SVM | 91.9 | 83.14 | 89.27 | 86.08 | 16.86 | 1051.4 |
| Coarse Gaussian SVM | 89.7 | 72.87 | 89.34 | 80.26 | 27.13 | 1228 |
| Fine KNN | 88.4 | 84.18 | 79.15 | 81.58 | 15.82 | 216.43 |
| Ensemble Bagged Tree | 89.7 | 77.17 | 87.6 | 82.04 | 22.83 | 98.32 |
| Fine Tree | 83.4 | 63.8 | 73.57 | 68.32 | 36.2 | 40.328 |
Bold show the significant value.