Table 9 Training datasets for case-base creation with brief descriptions

1

abalone.arff

9

1

7

0

3

0

4177

0

2

abe_148.arff

6

0

5

0

2

0

66

0

3

acute-inflammations.arff

7

5

1

5

2

0

120

0

4

ada_agnostic.arff

49

0

48

0

2

0

4562

0

5

ada_prior.arff

15

8

6

1

2

88

4562

88

6

adult- 4000.arff

15

8

6

1

2

0

3983

0

7

adult- 80000.arff

15

8

6

1

2

0

8000

0

8

ailerons - 5840.arff

41

0

40

0

2

0

5795

0

9

analcatdata_aids.arff

5

2

2

0

2

0

50

0

10

analcatdata_apnea1.arff

4

2

1

0

2

0

475

0

11

analcatdata_apnea2.arff

4

2

1

0

2

0

475

0

12

analcatdata_asbestos_ciupdated

4

2

1

1

2

0

83

0

13

analcatdata_authorship.arff

71

0

70

0

4

0

841

0

14

analcatdata_bankruptcy.arff

7

1

5

0

2

0

50

0

15

analcatdata_birthday.arff

4

2

1

0

2

30

365

30

16

analcatdata_bondrate.arff

12

7

4

1

5

1

57

1

17

analcatdata_boxing1.arff

4

3

0

1

2

0

120

0

18

analcatdata_boxing2.arff

4

3

0

1

2

0

132

0

19

analcatdata_braziltourism.arff

9

4

4

1

7

49

412

96

20

analcatdata_broadway.arff

10

6

3

1

5

6

95

9

21

analcatdata_broadwaymult.arff

8

4

3

1

7

18

285

27

22

analcatdata_chall101.arff

3

1

1

0

2

0

138

0

23

analcatdata_challenger.arff

6

4

1

0

2

0

23

0

24

analcatdata_chlamydia.arff

4

3

0

1

2

0

100

0

25

analcatdata_creditscore.arff

7

3

3

2

2

0

100

0

26

analcatdata_currency.arff

4

2

1

0

7

0

31

0

27

analcatdata_cyyoung8092.arff

11

3

7

2

2

0

97

0

28

analcatdata_cyyoung9302.arff

11

4

6

2

2

0

92

0

29

analcatdata_dmft.arff

5

4

0

1

6

0

797

0

30

analcatdata_donner.arff

4

3

0

1

2

0

28

0

31

analcatdata_draft.arff

6

2

3

0

2

1

366

1

32

analcatdata_election2000.arff

16

1

14

0

2

0

67

0

33

analcatdata_esr.arff

3

0

2

0

2

0

32

0

34

analcatdata_famufsu.arff

4

2

1

0

2

0

14

0

35

analcatdata_fraud.arff

12

11

0

10

2

0

42

0

36

analcatdata_germangss.arff

6

4

1

2

4

0

400

0

37

analcatdata_gsssexsurvey.arff

10

5

4

5

5

6

159

6

38

analcatdata_gviolence.arff

10

1

8

0

2

0

74

0

39

analcatdata_halloffame.arff

18

2

15

0

3

20

1340

20

40

analcatdata_happiness.arff

4

2

1

0

3

0

60

0

41

analcatdata_homerun.arff

28

14

13

7

2

1

163

9

42

analcatdata_impeach.arff

11

8

2

4

2

0

100

0

43

analcatdata_japansolvent.arff

10

1

8

0

2

0

52

0

44

analcatdata_lawsuit.arff

5

1

3

1

2

0

264

0

45

analcatdata_marketing.arff

33

32

0

0

5

35

347

79

46

analcatdata_michiganacc.arff

5

2

2

0

2

0

108

0

47

analcatdata_ncaa.arff

20

15

4

1

2

0

120

0

48

analcatdata_neavote.arff

4

2

1

0

2

0

100

0

49

analcatdata_negotiation.arff

6

1

4

1

2

17

92

26

50

analcatdata_olympic2000.arff

13

1

11

0

2

0

66

0

51

analcatdata_reviewer.arff

9

8

0

0

2

367

379

1368

52

analcatdata_runshoes.arff

11

6

4

5

2

14

60

14

53

analcatdata_supreme.arff

8

0

7

0

2

0

4052

0

54

analcatdata_uktrainacc.arff

17

0

16

0

2

25

31

150

55

analcatdata_votesurvey.arff

5

1

3

1

4

0

48

0

56

analcatdata_whale.arff

8

1

6

1

2

5

228

15

57

analcatdata_wildcat.arff

6

2

3

2

2

0

163

0

58

anneal.arff

39

32

6

14

6

0

898

0

59

anneal.ORIG.arff

39

32

6

7

6

898

898

22175

60

appendicitis.arff

8

0

7

0

2

0

106

0

61

ar1.arff

30

0

29

0

2

0

121

0

62

ar3.arff

30

0

29

0

2

0

63

0

63

ar4.arff

30

0

29

0

2

0

107

0

64

ar5.arff

30

0

29

0

2

0

36

0

65

arsenic-female-bladder.arff

5

1

3

0

2

0

559

0

66

arsenic-female-lung.arff

5

1

3

0

2

0

559

0

67

arsenic-male-bladder.arff

5

1

3

0

2

0

559

0

68

arsenic-male-lung.arff

5

1

3

0

2

0

559

0

69

audiology (binary version of audiology).arff

70

69

0

61

2

222

226

317

70

australian.arff.arff

15

0

14

0

2

0

690

0

71

automobile.arff

26

10

15

3

6

0

159

0

72

autoMpg.arff

8

3

4

0

2

6

398

6

73

autos.arff

26

10

15

4

7

46

205

59

74

autoUniv-au6-1000.arff

41

3

37

2

8

0

1000

0

75

autoUniv-au7-1100.arff

13

4

8

2

5

0

1100

0

76

autoUniv-au7-700.arff

13

4

8

2

3

0

700

0

77

backache.arff

33

26

6

22

2

0

180

0

78

badges2.arff

12

3

8

3

2

0

294

0

79

balance-scale.arff

5

0

4

0

3

0

625

0

80

balloon.arff

3

0

2

0

2

0

2001

0

81

banana.arff

3

0

2

0

2

0

5300

0

82

bands.arff

20

0

19

0

2

0

365

0

83

bank32nh - 1956.arff

33

0

32

0

2

0

1918

0

84

bank8FM.arff

9

0

8

0

2

0

8192

0

85

banknote-authentication.arff

5

0

4

0

2

0

1372

0

86

baskball.arff

5

0

4

0

2

0

96

0

87

BC-breast-cancer-data.arff

10

9

0

3

2

9

286

9

88

biomed.arff

9

1

7

0

2

15

209

15

89

blogger.arff

6

5

0

2

2

0

100

0

90

blood-transfusion-service-center.arff.arff

5

0

4

0

2

0

748

0

91

bodyfat.arff

15

0

14

0

2

0

252

0

92

bolts.arff

8

0

7

0

2

0

40

0

93

boston.arff

14

2

11

1

2

0

506

0

94

boston_corrected.arff

21

3

17

1

2

0

506

0

95

breast-cancer.arff

10

9

0

3

2

9

286

9

96

breastTumor.arff

10

8

1

4

2

9

286

9

97

bridges_version1.arff

13

9

3

2

6

37

107

73

98

bridges_version2.arff

13

12

0

2

6

37

107

73

99

bupa.arff

7

0

6

0

2

0

345

0

100

car.arff

7

6

0

0

4

0

1728

0