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. 2022 Jul 19;9:952626. doi: 10.3389/fmolb.2022.952626

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Copyright © 2022 Li, Huang, Liao, Li, Feng, Huang and Cai.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Incremental feature selection (IFS) curves of two classification algorithms in six cell types. The weighted F1 is set to the Y-axis and the number of features is set to the X-axis. (A) IFS curves in B cells; (B) IFS curves in CD4⁺ T cells; (C) IFS curves in CD8⁺ T cells; (D) IFS curves in natural killer cells; (E) IFS curves in dendritic cells; and (F) IFS curves in monocytes. The highest weighted F1 on each curve is marked, along with the number of used features. The random forest can always provide better performance than the decision tree.