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

TABLE 2.

Performance of the optimum classifiers based on different classification algorithms on six cell types.

Cell type Classification algorithm Number of features Macro F1 Weighted F1
B cell Decision tree 350 0.722 0.882
Random forest 210 0.909 0.936
CD4+ T cell Decision tree 90 0.653 0.823
Random forest 100 0.871 0.880
CD8+ T cell Decision tree 105 0.697 0.831
Random forest 130 0.875 0.881
Natural killer cell Decision tree 85 0.732 0.863
Random forest 140 0.905 0.919
Dendritic cell Decision tree 35 0.832 0.873
Random forest 30 0.859 0.892
Monocyte Decision tree 105 0.877 0.954
Random forest 80 0.903 0.963