Table 6 The AUC scores of the RF method for the prediction of hosts of viral contigs with different lengths using the models built from contigs of different lengths

Testing: 1 kb

Baci.

Esch.

Lact.

Myco.

Pseu.

Salm.

Stap.

Syne.

Virb.

Training: 1 kb

0.773

0.805

0.840

0.962

0.924

0.812

0.936

0.928

0.842

Training: 3 kb

0.819

0.857

0.833

0.977

0.959

0.818

0.955

0.960

0.858

Training: 5 kb

0.831

0.848

0.848

0.977

0.952

0.826

0.957

0.957

0.845

Training: wgs

0.821

0.718

0.818

0.886

0.833

0.792

0.948

0.890

0.774

Testing: 3 kb

Baci.

Esch.

Lact.

Myco.

Pseu.

Salm.

Stap.

Syne.

Virb.

Training: 1 kb

0.766

0.862

0.842

0.979

0.947

0.843

0.961

0.961

0.880

Training: 3 kb

0.823

0.878

0.868

0.980

0.975

0.866

0.966

0.967

0.898

Training: 5 kb

0.850

0.899

0.889

0.985

0.978

0.880

0.976

0.983

0.917

Training: wgs

0.854

0.827

0.885

0.967

0.952

0.872

0.976

0.951

0.876

Testing: 5 kb

Baci.

Esch.

Lact.

Myco.

Pseu.

Salm.

Stap.

Syne.

Virb.

Training: 1 kb

0.768

0.870

0.822

0.982

0.955

0.838

0.964

0.972

0.867

Training: 3 kb

0.827

0.900

0.869

0.985

0.977

0.871

0.974

0.986

0.904

Training: 5 kb

0.852

0.890

0.883

0.986

0.978

0.883

0.972

0.972

0.907

Training: wgs

0.858

0.865

0.888

0.983

0.970

0.882

0.979

0.965

0.900

Testing: wgs

Baci.

Esch.

Lact.

Myco.

Pseu.

Salm.

Stap.

Syne.

Virb.

Training: 1 kb

0.778

0.860

0.814

0.984

0.960

0.812

0.971

0.981

0.896

Training: 3 kb

0.854

0.901

0.817

0.994

0.988

0.884

0.989

0.994

0.930

Training: 5 kb

0.870

0.923

0.861

0.994

0.992

0.889

0.992

0.996

0.934

Training: wgs

0.862

0.859

1.0

0.985

0.979

0.893

0.987

0.981

0.938