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Table 12 Performance of classifiers using FSvsNS signature

From: Ensemble of rankers for efficient gene signature extraction in smoke exposure classification

 

RF

GNB

kNN

MLP

SVC

LR

LDA

GTB

ERT

T264

T225

T259

AUPR

0.6366

0.6357

0.6594

0.6710

0.7321

0.7024

0.6581

0.5528

0.6774

0.58

0.50

0.47

MCC

0.0845

0.1092

0.1310

0.0307

0.2883

0.2318

0.1472

-0.0644

0.1092

0.07

0.02

-0.02

  1. Performance measures, in terms of AUPR and MCC scores, of nine classifiers using the signature obtained for the case study of former smokers versus never smokers. Results are compared to the scores obtained by winners of SysTox Computational Challenge. Best results in boldface
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BMC Bioinformatics

ISSN: 1471-2105

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