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Table 2 The AUC scores of using RF combined with the first feature with different word pattern lengths across 9 different hosts

From: Prediction of virus-host infectious association by supervised learning methods

 

k=4

k=6

k=8

Bacillus

0.856

0.863

0.823

Escherichia

0.878

0.858

0.807

Lactococcus

0.972

1.000

0.988

Mycobacterium

0.987

0.985

0.984

Pseudomonas

0.978

0.981

0.967

Salmonella

0.889

0.896

0.891

Staphylococcus

0.993

0.987

0.983

Synechococcus

0.965

0.978

0.955

Vibrio

0.936

0.940

0.892

  1. The highest score for each host is highlighted in bold
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BMC Bioinformatics

ISSN: 1471-2105

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