Table 3.

Experimental results using the GoogleNet features with different classifiers.

Method	Accuracy	Precision	Recall	F1-Measure	Training Time
Random forest	93.25	0.932	0.897	0.979	162
Support vector machine	99.61	0.996	0.994	0.997	6027
Fast decision tree	93.25	0.932	0.897	0.979	162
Bayesian network	81.49	0.81	0.729	0.937	178