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Table 4 LDC for tabular datasets

From: D-Confidence: an active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions

Dataset

Classifier

ff.ldc

c.ldc

dc.ldc

Best

Iris

SVM

65.3

6.7

2.7

dc

Iris

NNET

65.3

83.0

1.3

dc

Iris

RPART

65.3

3.3

1.7

dc

Cleveland

SVM

24.2

39.8

14.5

dc

Cleveland

NNET

24.2

16.2

10.5

dc

Cleveland

RPART

24.2

17.7

13.2

dc

Poker

SVM

200.4

250.9

98.2

dc

Poker

NNET

200.4

311.6

114.2

dc

Poker

RPART

200.4

326.5

168.4

dc

Satlog

SVM

107.0

34.1

9.6

dc

Satlog

NNET

107.0

24.4

15.9

dc

Satlog

RPART

107.0

16.0

11.4

dc

Vowels

SVM

88.6

31.3

26.3

dc

Vowels

NNET

88.6

27.3

24.3

dc

Vowels

RPART

88.6

31.6

39.9

c