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IEEE/ICACT20260379 Slide.16        [Big Slide]	Oral Presentation
	In multi-class classification problems, metrics that measure the accuracy of classification are important. For the input data matrix, we consider accuracy. In addition, metrics that measure the accuracy of each class include precision, which indicates how many of the predictions were correct, and recall, which indicates how many truly correct predictions were made without missing any. In this paper, we consider the f1-score, which is a metric that combines these two.

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