Table 5 Prediction results of different comparision algorithms under the proposed prediction method.

AS

\(\overline{Acc}\)

0.930

0.933

0.925

0.933

0.867

0.945

0.497

0.922

0.916

0.928

/

/

0.907

0.928

0.912

0.913

Macro avg

0.321

0.405

0.303

0.405

0.844

0.387

0.398

0.410

0.259

0.605

/

/

0.352

0.605

0.455

0.439

Weighted avg

0.914

0.911

0.916

0.911

0.865

0.917

0.483

0.912

0.889

0.920

/

/

0.851

0.920

0.852

0.894

AS-Caida

\(\overline{Acc}\)

0.842

0.926

0.830

0.926

0.830

0.933

0.899

0.943

0.752

0.926

/

/

0.738

0.926

0.975

0.978

Macro avg

0.654

0.885

0.603

0.885

0.839

0.933

0.690

0.635

0.623

0.885

/

/

0.568

0.885

0.933

0.937

Weighted avg

0.844

0.925

0.775

0.925

0.813

0.940

0.887

0.938

0.753

0.925

/

/

0.728

0.925

0.975

0.980

DBLP

\(\overline{Acc}\)

0.886

0.908

0.804

0.908

0.870

0.902

0.840

0.919

0.650

0.908

/

/

0.853

0.908

0.987

0.994

Macro avg

0.732

0.801

0.528

0.801

0.854

0.888

0.629

0.780

0.416

0.801

/

/

0.685

0.801

0.989

0.996

Weighted avg

0.883

0.902

0.735

0.902

0.803

0.902

0.816

0.916

0.651

0.902

/

/

0.812

0.902

0.988

0.994

Facebook

\(\overline{Acc}\)

0.823

0.946

0.758

0.946

0.851

0.823

0.693

0.823

0.800

0.802

0.788

0.725

0.648

0.604

0.951

0.850

Macro avg

0.745

0.909

0.731

0.909

0.803

0.818

0.590

0.841

0.669

0.756

0.710

0.638

0.524

0.499

0.952

0.767

Weighted avg

0.820

0.951

0.740

0.951

0.754

0.836

0.633

0.836

0.804

0.802

0.758

0.717

0.636

0.601

0.949

0.829

Sx-askubuntu-c2q

\(\overline{Acc}\)

0.952

0.981

0.792

0.959

0.866

0.963

0.953

0.995

0.723

0.945

0.719

0.818

0.943

0.981

0.969

0.987

Macro avg

0.925

0.964

0.781

0.936

0.825

0.849

0.958

0.988

0.584

0.930

0.545

0.777

0.878

0.964

0.856

0.951

Weighted avg

0.951

0.980

0.794

0.961

0.871

0.953

0.962

0.993

0.702

0.945

0.715

0.834

0.937

0.980

0.959

0.989