Table 3

The performance of support vector machine models for the Classification I and Classification II

Model

Data set

Sensitivity

Specificity

PPV

NPV

AUC


Classification Scheme I*

Test

0.7715

0.7503

0.4926

0.9127

0.8347

Training

0.7938

0.7169

0.4550

0.9211

0.8383

10-fold cross- validation

0.7765

0.7027

0.4388

0.9130

0.8242

Classification Scheme II*

Test

0.7359

0.6254

0.5061

0.8195

0.7318

Training

0.7092

0.6590

0.6729

0.8087

0.7393

10-fold cross- validation

0.7059

0.6589

0.5293

0.8054

0.7357


PPV, positive predictive value; NPV, negative predictive value; AUC, area under the curve.

*See Table 1 for the definitions of Classification Schemes I and II.

Yu et al. BMC Medical Informatics and Decision Making 2010 10:16   doi:10.1186/1472-6947-10-16

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