Skip to main content

Table 1 Classifier AUCs per run of cross validation

From: A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support

CV Run

RBF (σ = 0.001)

Linear

Polynomial (degree = 2)

Edit Kernel (γ = 0.005, PAM70)

1

0.9475

0.9459

0.941

0.8629

2

0.9509

0.9506

0.9452

0.851

3

0.9504

0.9579

0.9444

0.8655

4

0.9449

0.947

0.9379

0.8634

5

0.9472

0.9467

0.9413

0.8744

6

0.9467

0.9467

0.9457

0.8689

7

0.9532

0.9535

0.9475

0.8377

8

0.9522

0.9532

0.9306

0.8623

9

0.9524

0.9524

0.9478

0.9012

10

0.9441

0.9431

0.9384

0.8672

μ

0.949

0.9497

0.942

0.8654

σ

0.0033

0.0045

0.0053

0.0162

  1. The column names indicate the kernel function corresponding to each SVM and kernel parameters are indicated in brackets. Only the results for the best-performing kernel function (in terms of average AUC across all CV runs) for each set of evaluated parameters are shown. All of the classifiers performed best with a setting of ν = 0.3