Table 7. Classification accuracy (%) for all fused features using SVM, RF, and QDA classifiers for the BreakHis dataset.

Features	SVM	RF	QDA
Magnification Factor 40×
Inception-ResNet-50	96.31	95.72	93.04
All fused features	96.499	97.848	94.65
Magnification Factor 100×
Inception-ResNet-V2	95.33	96.83	93.09
All fused features	96.63	97.63	94.65
Magnification Factor 200×
Inception-ResNet-V2	92.994	90.122	87.432
All fused features	95.71	92.84	90.39
Magnification Factor 400×
Inception-ResNet-V2	92.994	90.122	87.432
All fused features	89.436	92.543	87.902