Table 2 Open in new tab Results of... | Oxford Academic

Table 2

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Results of low-voltage areas prediction

	AUROC	Sensitivity	Specificity	Accuracy	F1 score
Hold test
DR-FLASH	0.601	0.433	0.768	0.556	0.553
APPLE	0.589	0.858	0.319	0.661	0.763
CNN-Image	0.703	0.857	0.396	0.635	0.709
CNN-Multimodal	0.816	0.929	0.505	0.725	0.778
CNN-RF-Multimodal	0.796	0.939	0.429	0.693	0.760
Extend test
DR-FLASH	0.594	0.261	0.928	0.761	0.353
APPLE	0.667	0.391	0.942	0.804	0.500
CNN-Image	0.711	0.804	0.391	0.500	0.460
CNN-Multimodal	0.785	0.934	0.234	0.420	0.460
CNN-RF-Multimodal	0.879	0.978	0.305	0.483	0.500

	AUROC	Sensitivity	Specificity	Accuracy	F1 score
Hold test
DR-FLASH	0.601	0.433	0.768	0.556	0.553
APPLE	0.589	0.858	0.319	0.661	0.763
CNN-Image	0.703	0.857	0.396	0.635	0.709
CNN-Multimodal	0.816	0.929	0.505	0.725	0.778
CNN-RF-Multimodal	0.796	0.939	0.429	0.693	0.760
Extend test
DR-FLASH	0.594	0.261	0.928	0.761	0.353
APPLE	0.667	0.391	0.942	0.804	0.500
CNN-Image	0.711	0.804	0.391	0.500	0.460
CNN-Multimodal	0.785	0.934	0.234	0.420	0.460
CNN-RF-Multimodal	0.879	0.978	0.305	0.483	0.500

CNN, convolutional neural network; RF, random forest.

Table 2

Open in new tab

Results of low-voltage areas prediction

	AUROC	Sensitivity	Specificity	Accuracy	F1 score
Hold test
DR-FLASH	0.601	0.433	0.768	0.556	0.553
APPLE	0.589	0.858	0.319	0.661	0.763
CNN-Image	0.703	0.857	0.396	0.635	0.709
CNN-Multimodal	0.816	0.929	0.505	0.725	0.778
CNN-RF-Multimodal	0.796	0.939	0.429	0.693	0.760
Extend test
DR-FLASH	0.594	0.261	0.928	0.761	0.353
APPLE	0.667	0.391	0.942	0.804	0.500
CNN-Image	0.711	0.804	0.391	0.500	0.460
CNN-Multimodal	0.785	0.934	0.234	0.420	0.460
CNN-RF-Multimodal	0.879	0.978	0.305	0.483	0.500

	AUROC	Sensitivity	Specificity	Accuracy	F1 score
Hold test
DR-FLASH	0.601	0.433	0.768	0.556	0.553
APPLE	0.589	0.858	0.319	0.661	0.763
CNN-Image	0.703	0.857	0.396	0.635	0.709
CNN-Multimodal	0.816	0.929	0.505	0.725	0.778
CNN-RF-Multimodal	0.796	0.939	0.429	0.693	0.760
Extend test
DR-FLASH	0.594	0.261	0.928	0.761	0.353
APPLE	0.667	0.391	0.942	0.804	0.500
CNN-Image	0.711	0.804	0.391	0.500	0.460
CNN-Multimodal	0.785	0.934	0.234	0.420	0.460
CNN-RF-Multimodal	0.879	0.978	0.305	0.483	0.500

CNN, convolutional neural network; RF, random forest.