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IEEE/ICACT20230153 Slide.12        [Big Slide]	Oral Presentation
	For the entire dataset for each environment, the average prediction performance accuracy of each model is shown in Table 3. The overall prediction accuracy was 99.61%, 99.55%, 90.51%, and 67.10%, respectively, in the order of EfficientNetB0, EfficientNetB2, ShuffleNet_v2, and AlexNet. As for the recall value, it is the prediction accuracy when a normal image is an input. 99.97%, 99.96%, 93.09%, and 87.12%, respectively, in the order of EfficientNetB0, EfficientNetB2, ShuffleNet_v2, and AlexNet. As for the specificity value, the prediction accuracy when an abnormal image was input, was 99.25%, 99.13%, 87.93%, and 45.75%, respectively, in the order of EfficientNetB0, EfficientNetB2, ShuffleNet_v2, and AlexNet.

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