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Table 5 Average F-measure of different algorithms with different datasets

From: Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification

F-measure(F1) NN SMOTE-NN R-SMOTE-NN SRA-NN ASCB_DmSMOTE-NN
ThoraricSurgery 0.917 0.667 0.643 ± 0.27 0.642 ± 0.1 0.865 ± 0.04
Ecoli 0.959 0.902 0.762 ± 0.18 0.795 ± 0.09 0.874 ± 0.04
Sick Euthyroid 0.966 0.916 0.793 ± 0.16 0.787 ± 0.07 0.891 ± 0.05
Yeast_ML8 0.962 0.693 0.809 ± 0.15 0.902 ± 0.09 0.939 ± 0.04
Thyroid Sick 0.976 0.915 0.820 ± 0.15 0.863 ± 0.08 0.821 ± 0.03
Arrhythmia 0.876 0.878 0.847 ± 0.16 0.895 ± 0.08 0.952 ± 0.04
Mammography 0.991 0.901 0.812 ± 0.13 0.726 ± 0.07 0.943 ± 0.03
F1_average 0.949 0.839 0.784 ± 0.17 0.801 ± 0.09 0.912 ± 0.04
  1. The italicized entries represent the best performance