Table 6. Classification accuracy (%) for individual features using SVM, RF, and QDA classifiers for ICIAR 2018 dataset.
Features | SVM | RF | QDA |
---|---|---|---|
Inception-Resnet V2 | 83.984 | 81.746 | 79.833 |
ResNet -50 | 76.537 | 79.345 | 78.155 |
GoogleNet | 88.935 | 89.232 | 86.831 |
AlexNet | 75.927 | 77.124 | 79.485 |
ShuffleNet | 80.324 | 82.542 | 85.534 |
HOG | 81.143 | 83.721 | 84.443 |
WPD | 76.639 | 77.993 | 74.235 |