IEEE/ICACT20260379 Slide.19        [Big Slide]       Oral Presentation
Generally, when entropy is low, the data is biased in a small number of directions, and if the data items related to that direction are selected, classification becomes easier, so it is thought that the f1-score will also increase. In other words, the figure shows a line sloping downward to the right. However, this does not necessarily the case. The two types of indicators characterize datasets in different ways and require detailed consideration on a case-by-case basis.

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