Table 3.

Classification of color-coded images using convolutional neural networks

Collection	CNN	Metric
1	0.74 ± 0.01	Accuracy
	0.74 ± 0.01	F1
	0.61 ± 0.01	MCC
2	0.72 ± 0.02	Accuracy
	0.72 ± 0.02	F1
	0.58 ± 0.03	MCC
3	0.71 ± 0.02	Accuracy
	0.71 ± 0.03	F1
	0.56 ± 0.04	MCC
4	0.73 ± 0.04	Accuracy
	0.73 ± 0.04	F1
	0.60 ± 0.06	MCC
5	0.70 ± 0.04	Accuracy
	0.70 ± 0.04	F1
	0.55 ± 0.06	MCC
6	0.72 ± 0.03	Accuracy
	0.72 ± 0.03	F1
	0.58 ± 0.04	MCC
7	0.75 ± 0.03	Accuracy
	0.75 ± 0.03	F1
	0.62 ± 0.04	MCC

The table reports classification results for CNN models trained and tested on color-coded images. All values reported are averages ± standard deviations over 10 independent trials