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Table 6 The total number of missing rate on the mixed datasets

From: Adaptive multiple imputations of missing values using the class center

Datasets

Missing rate

10%

20%

30%

40%

50%

c\(^*\)

i\(^*\)

c

i

c

i

c

i

c

i

Abalone (7,1)

30,038

3,338

26,701

6,675

23,363

10,013

20,026

13,350

16,688

16,688

Acute (1,5)

648

72

576

144

504

216

432

288

360

360

Card (6,9)

9,315

1,035

8,280

2,070

7,245

3,105

6,210

4,140

5,175

5,175

Contraceptive (2,7)

11,931

1,326

10,606

2,651

9,280

3,977

7,954

5,303

6,629

6,629

German (7,13)

18,000

2,000

16,000

4,000

14,000

6,000

12,000

8,000

10,000

10,000

Heart (5,8)

3,545

394

3,151

788

2,757

1,182

2,363

1,576

1,970

1,970

Zoo (1,15)

1,454

162

1,293

323

1,131

485

970

646

808

808

Srinagarind (6,2)

24,962

2,774

22,189

5,547

19,415

8,321

16,642

11,094

13,868

13,868

  1. \(^*\)c = complete data, i = incomplete data