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. 2023 Sep 4;95:104769. doi: 10.1016/j.ebiom.2023.104769

Table 3.

Weighted F1-score on the testing set for the linear SVM classifier trained on reference sets generated from each round of automatic expansion.

Datasets Rounds 1 2 3 4 5 6 7 8 9 10
Ovarian T cells Ref. Size 6 12 18 24 30 36 42 48 54 60
Weighted F1-score 0.762 (0.007) 0.889(0.015) 0.891(0.016) 0.881 (0.02) 0.884 (0.008) 0.866 (0.016) 0.877 (0.012) 0.879 (0.019) 0.877 (0.019) 0.87 (0.02)
LUSC T cells Ref. Size 4 8 12 16 20 24 28 32 36 40
Weighted F1-score 0.787 (0.064) 0.904 (0.033) 0.907 (0.017) 0.908 (0.015) 0.922(0.011) 0.918 (0.027) 0.921(0.021) 0.918 (0.02) 0.918 (0.014) 0.912 (0.004)
DCIS FOXP3 Ref. Size 2 4 6 8 10 12 14 16 18 20
Weighted F1-score 0.775 (0.008) 0.984(0.003) 0.977 (0.008) 0.975 (0.001) 0.974 (0.002) 0.962 (0.011) 0.968 (0.015) 0.965 (0.017) 0.967 (0.016) 0.975 (0.008)
Myeloma Ref. Size 3 6 9 12 15 18 21 24 27 30
Weighted F1-score 0.672 (0.2590) 0.742 (0.131) 0.743 (0.156) 0.839 (0.091) 0.919 (0.028) 0.912 (0.025) 0.918 (0.026) 0.93 (0.012) 0.936 (0.006) 0.948(0.001)
IMC CD4-CD8 Ref. Size 2 4 6 8 10 12 14 16 18 20
Weighted F1-score 0.584 (0.147) 0.801 (0.11) 0.853 (0.005) 0.857 (0.024) 0.863 (0.021) 0.863 (0.015) 0.906 (0.029) 0.899 (0.036) 0.912 (0.012) 0.917(0.015)

The average of 3 repeats with different initial reference sets is shown, with standard deviations shown inside the parentheses.

Bold values are within 0.003 lower than the best.