Table 3 The coverage and realism on the Ship-D and California House dataset.

RTVAE

\(X,X'\)

7.4574

4.9556

0.6547

0.5358

161.0204

3.0778

0.9947

0.8101

RTVAE

\(Y,Y'\)

2.0623

35.5565

0.9702

0.6172

80.6699

28.2033

0.9975

0.8454

RTVAE

\(Y,\tilde{Y}\)

2.0295

2.5623

0.6966

0.5606

171.4188

1.2100

0.9947

0.8389

CTGAN

\(X,X'\)

7.6455

5.2936

0.6296

0.6088

14.7484

4.4478

0.9993

0.9822

CTGAN

\(Y,Y'\)

1.2089

4.0176

0.9783

0.9380

23.0101

34.0267

0.9992

0.8942

CTGAN

\(Y,\tilde{Y}\)

1.7268

2.0848

0.8661

0.6171

10.5772

2.2568

0.9995

0.9911

TabDDPM

\(X,X'\)

10.6569

4.5891

0.6406

0.5566

59.2422

3.1655

0.998

0.8504

TabDDPM

\(Y,Y'\)

1.3926

0.2712

0.9804

0.7844

61.4435

12.5347

0.9981

0.8824

TabDDPM

\(Y,\tilde{Y}\)

4.3212

3.2444

0.6181

0.5971

57.2525

1.3514

0.9982

0.8773

DDPM with classifier

\(X,X'\)

12.1152

4.2084

0.6675

0.4714

234.6213

2.2474

0.9930

0.5340

DDPM with classifier

\(Y,Y'\)

2.5562

0.1843

0.9659

0.5186

250.0662

12.4111

0.9931

0.5400

DDPM with classifier

\(Y,\tilde{Y}\)

3.0122

2.0105

0.9212

0.6639

245.2265

1.0337

0.9932

0.6124

ShipGen

\(X,X'\)

11.4824

4.2776

0.7687

0.4843

165.6726

2.2640

0.9950

0.5359

ShipGen

\(Y,Y'\)

2.3382

0.2159

0.9690

0.7459

175.9302

11.9092

0.9950

0.5402

ShipGen

\(Y,\tilde{Y}\)

4.9948

3.6121

0.854

0.3846

172.0487

0.9720

0.9951

0.7116

TDGGD

\(X,X'\)

12.209

4.4451

0.7005

0.4700

1422.9737

38.0973

0.9605

0.2968

TDGGD

\(Y,Y'\)

2.4267

0.2834

0.9699

0.7157

6903.9999

5829.55

0.9612

0.2044

TDGGD

\(Y,\tilde{Y}\)

2.5232

2.1278

0.6886

0.5898

1366.1891

2.7569

0.9640

0.6216