Table 9.

The two-classes dataset experiments with the minimized metrics.

Model Name	Categorical Crossentropy	KLDivergence	Categorical Hinge	Hinge	Squared Hinge	Poisson	Logcosh Error	Mean Absolute Error	Mean Squared Error	Mean Squared Logarithmic Error	Root Mean Squared Error
SeresNext50	0.033	0.033	0.038	0.519	0.528	0.517	0.004	0.019	0.009	0.004	0.092
SeresNext101	0.069	0.069	0.083	0.541	0.561	0.534	0.009	0.041	0.020	0.010	0.140
SeNet154	0.024	0.024	0.021	0.510	0.516	0.512	0.003	0.010	0.006	0.003	0.075
MobileNet	0.047	0.047	0.056	0.528	0.540	0.523	0.006	0.028	0.012	0.006	0.111
MobileNetV2	0.229	0.229	0.134	0.567	0.616	0.614	0.022	0.067	0.049	0.024	0.221
MobileNetV3Small	0.019	0.019	0.026	0.513	0.517	0.510	0.002	0.013	0.004	0.002	0.067
MobileNetV3Large	0.008	0.008	0.008	0.504	0.506	0.504	0.001	0.004	0.002	0.001	0.045