Table 2 Results of the effectiveness analysis of DPFCM and DPFCM_GK.

From: Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification

Data set

Metric

Model

Privacy budget ε

P Value

0.01

1

2

3

4

5

UCIML

ACC

DPFCM_GK

0.568

0.779

0.870

0.875

0.891

0.885

3.95E-4

DPFCM

0.535

0.632

0.844

0.864

0.863

0.889

PRE

DPFCM_GK

0.504

0.686

0.817

0.822

0.809

0.827

5.07E-06

DPFCM

0.486

0.592

0.674

0.815

0.831

0.815

ReCall

DPFCM_GK

0.547

0.726

0.856

0.898

0.886

0.881

4.59E-05

DPFCM

0.525

0.674

0.767

0.881

0.889

0.869

F1_Score

DPFCM_GK

0.470

0.756

0.837

0.843

0.868

0.856

5.68E-05

DPFCM

0.565

0.654

0.792

0.874

0.849

0.861

ARI

DPFCM_GK

0.380

0.604

0.735

0.743

0.754

0.735

3.98E-06

DPFCM

0.353

0.492

0.693

0.733

0.741

0.739

UCIML

ACC

DPFCM_GK

0.578

0.832

0.914

0.907

0.938

0.931

3.96E-06

DPFCM

0.543

0.643

0.680

0.829

0.902

0.920

PRE

DPFCM_GK

0.516

0.720

0.894

0.888

0.892

0.869

1.51E-04

DPFCM

0.525

0.615

0.749

0.890

0.859

0.892

ReCall

DPFCM_GK

0.562

0.801

0.908

0.911

0.901

0.898

4.65E-03

DPFCM

0.499

0.593

0.830

0.902

0.922

0.903

F1_Score

DPFCM_GK

0.530

0.778

0.907

0.909

0.913

0.917

5.46E-04

DPFCM

0.505

0.586

0.791

0.928

0.912

0.914

ARI

DPFCM_GK

0.483

0.730

0.849

0.832

0.843

0.818

2.90E-04

DPFCM

0.420

0.569

0.711

0.837

0.831

0.830

UCIML

ACC

DPFCM_GK

0.594

0.737

0.910

0.932

0.918

0.918

1.17E-03

DPFCM

0.513

0.617

0.810

0.999

0.916

0.928

PRE

DPFCM_GK

0.568

0.797

0.901

0.925

0.913

0.914

5.43E-04

DPFCM

0.513

0.631

0.699

0.905

0.908

0.911

ReCall

DPFCM_GK

0.516

0.772

0.944

0.919

0.942

0.920

1.89E-04

DPFCM

0.472

0.594

0.777

0.929

0.935

0.930

F1_Score

DPFCM_GK

0.574

0.825

0.893

0.893

0.912

0.911

4.56E-04

DPFCM

0.540

0.629

0.768

0.897

0.898

0.903

ARI

DPFCM_GK

0.46

0.647

0.860

0.860

0.862

0.865

2.74E-04

DPFCM

0.475

0.582

0.703

0.851

0.873

0.852

  1. Note: In the table, only results for privacy budget ε = 0.01, 1, 2, 3, 4, 5 are included. The P Value represents the results of a paired t-test between DPFCM and DPFCM_GK.