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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
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BioData Mining

ISSN: 1756-0381