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Table 3 Overall performance comparison Performance of each feature extraction algorithms averaged across data sets. Balanced accuracy (BACC) reported in increasing order.

From: Feature selection and nearest centroid classification for protein mass spectrometry

 

Average BACC

(+/-)

OC-H4

OC-WCX2a

OC-WCX2b

PC-H4

PC-IMAC-Cu

PCA

0.684

0.139

0.712

0.682

0.893

0.516

0.619

No FE

0.771

0.044

0.763

0.773

0.834

0.777

0.711

T-test

0.804

0.100

0.747

0.965

0.834

0.709

0.766

NSC(20)

0.808

0.148

0.621

0.944

0.973

0.736

0.764

PCA/LDA

0.808

0.137

0.727

0.899

1.000

0.667

0.748

SBS

0.814

0.070

0.823

0.854

0.903

0.729

0.760

P-test

0.837

0.114

0.763

0.944

0.975

0.728

0.773

KS-test

0.838

0.115

0.702

0.929

0.983

0.784

0.791

SFS

0.863

0.103

0.747

0.949

0.991

0.827

0.798

Boosted

0.883

0.070

0.884

0.914

0.982

0.810

0.826

Boosted FE

0.927

0.057

0.854

0.965

1.000

0.906

0.911