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Table 5 The total number of missing rate on the categorical 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

Balance scale

2,250

250

2,000

500

1,750

750

1,500

1,000

1,250

1,250

Breast cancer

5,662

629

5,033

1,258

4,404

1,887

3,775

2,516

3,146

3,146

Lymphography

1,066

118

947

237

829

355

710

474

592

592

Promoters

5,438

604

4,834

1,208

4,229

1,813

3,625

2,417

3,021

3,021

Spect

5,287

587

4,699

1,175

4,112

1,762

3,524

2,350

2,937

2,937

Tic tac toe

7,760

862

6,898

1,724

6,035

2,587

5,173

3,449

4,311

4,311

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