Table 7.
Results of classification incorporating Xception deep features applied on the ISIC 2018 dataset.
Classifiers | Accuracy (%) |
Recall (%) |
Precision (%) |
F1 Score | FNR | Time (sec) |
---|---|---|---|---|---|---|
Narrow NN | 88.3 | 79.75 | 81.41 | 80.56 | 20.25 | 234.02 |
Medium NN | 89.5 | 82.22 | 82.88 | 82.54 | 17.78 | 100.79 |
Wide NN | 89.5 | 81.47 | 83.42 | 82.42 | 18.53 | 145.46 |
Bilayered NN | 88.4 | 79.65 | 79.91 | 79.76 | 20.53 | 455.59 |
Quadratic SVM | 91.5 | 82.58 | 88.6 | 85.48 | 17.42 | 432.8 |
Cubic SVM | 91.5 | 82.5 | 88.51 | 85.38 | 17.5 | 490.1 |
Coarse Gaussian SVM | 89.6 | 72.65 | 89.05 | 79.9 | 27.35 | 561.13 |
Fine KNN | 87.8 | 81.71 | 79.27 | 80.46 | 18.29 | 175.58 |
Ensemble Bagged Tree | 89.9 | 77.4 | 87.95 | 82.36 | 22.6 | 83.58 |
Fine Tree | 83.4 | 64.55 | 71.44 | 67.82 | 35.45 | 31.110 |
Bold show the significant value.