Table 8.
Results of classification incorporating Shufflenet deep features applied on the ISIC 2018 dataset.
| Classifiers | Accuracy (%) |
Recall (%) |
Precision (%) |
F1 Score | FNR | Time (sec) |
|---|---|---|---|---|---|---|
| Narrow NN | 79.3 | 62.31 | 61.07 | 61.68 | 37.69 | 227.18 |
| Medium NN | 82.3 | 67.44 | 69.37 | 68.38 | 32.56 | 61.207 |
| Wide NN | 83.6 | 70.68 | 71.87 | 71.26 | 29.32 | 66 |
| Bilayered NN | 79.0 | 61.01 | 59.97 | 60.84 | 38.99 | 349.43 |
| Quadratic SVM | 86.4 | 71.91 | 80.52 | 75.96 | 28.09 | 145.91 |
| Cubic SVM | 86.6 | 71.71 | 80.91 | 76.02 | 28.29 | 163 |
| Coarse Gaussian SVM | 81.6 | 49.94 | 65.54 | 56.68 | 50.06 | 232.57 |
| Fine KNN | 81.7 | 71.07 | 68.78 | 69.9 | 28.93 | 66.811 |
| Ensemble Bagged Tree | 79.3 | 46.87 | 76.02 | 57.98 | 53.13 | 44.319 |
| Fine Tree | 72.6 | 39.98 | 49.34 | 44.16 | 60.02 | 15.55 |
Bold show the significant value.