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