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. 2021 Apr 28;19:2742–2749. doi: 10.1016/j.csbj.2021.04.054

Fig. 4.

Fig. 4

Three key technical issues in multi-label classification. a. Too many labels in training data leads to unexpected high computational cost. b. Missed label reduces the detection sensitivity. c. Ambiguous label introduces false positive results.