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IEEE/ICACT20260379 Question.1
Questioner: abilaaniloshan@gmail.com    2026-02-09 ¿ÀÈÄ 10:29:05
IEEE/ICACT20260379 Answer.1
Answer by Auhor ida@niad.ac.jp   2026-02-09 ¿ÀÈÄ 10:29:05
Why did you use normalized spectral entropy in addition to the f1-score for evaluating classification performance? 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.

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