Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Table 6

Sample of binary classification results based on an adaptive genetic algorithm: scenario1.

Scenario 1
	Epoch	Batch size	Accuracy	roc_auc	Precision	Recall	fBeta
AlexNet	1	32	0.82	0.90	0.89	0.84	0.85
	40	64	0.92	0.96	0.94	0.94	0.94
	60	128	0.90	0.97	0.89	0.97	0.95
Resnet	1	64	0.85	0.92	0.90	0.87	0.88
	46	64	0.97	0.99	0.98	0.98	0.98
	61	128	0.96	0.98	0.98	0.96	0.97
DensNet	1	128	0.90	0.97	0.96	0.90	0.91
	41	64	0.98	0.98	0.98	0.98	0.98
	60	64	0.97	0.97	0.97	0.97	0.97