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Table 3 Mean normalised classification rates over 4 two-phenotype datasets according to performance

From: Pathway activity inference for multiclass disease classification through a mathematical programming optimisation framework

Two-class

DIGS

SG

Mean [ [28]]

Median [ [28]]

Per_pathway [ [72]]

PCA [ [45]]

CORGs [ [19]]

5-NN

0.9988

0.9071

0.8737

0.8751

0.8903

0.8389

0.9371

NN

0.9973

0.9584

0.9323

0.9004

0.9041

0.9480

0.9769

SMO

0.9757

0.9474

0.9435

0.9225

0.9325

0.9704

0.9645

HB

0.9835

0.9730

0.8819

0.8707

0.8547

0.8402

0.9595

Logistic

0.9318

0.9816

0.8902

0.8789

0.8632

0.8482

0.9684

Mean

0.9774

0.9535

0.9043

0.8895

0.8890

0.8891

0.9613

  1. The highest classification rate achieved across all competing methods is highlighted as bold for each classifier.
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BMC Bioinformatics

ISSN: 1471-2105

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