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Table 3 Cross training reveals similarity between the inhibitors

From: Analysis of drug resistance in HIV protease

Compound

Atv

Drv

Fpv

Idv

Lpv

Nfv

Sqv

Tpv

Atv

0.990

0.868

0.880

0.955

0.946

0.914

0.893

0.819

Drv

0.767

0.996

0.818

0.786

0.785

0.718

0.792

0.925

Fpv

0.929

0.873

0.981

0.889

0.886

0.822

0.822

0.828

Idv

0.945

0.863

0.880

0.989

0.960

0.905

0.878

0.809

Lpv

0.939

0.892

0.877

0.963

0.988

0.891

0.865

0.837

Nfv

0.923

0.853

0.824

0.918

0.901

0.987

0.837

0.758

Sqv

0.898

0.837

0.825

0.890

0.871

0.840

0.983

0.807

Tpv

0.723

0.929

0.765

0.729

0.728

0.655

0.732

0.993

  1. These numbers show the accuracy when a model trained on the compound at the start of the row is used to classify the data from the other inhibitors
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BMC Bioinformatics

ISSN: 1471-2105

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