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Journal of the Brazilian Computer Society

Table 3 Brief description of the data sets

From: Network-based data classification: combining K-associated optimal graphs and high-level prediction

Name

#Inst.

#Attr.

#Classes

Maj. class (%)

Iris

150

4

3

33.33

Glass

214

9

7

35.51

Balance

625

4

3

46.08

Monks-2

601

6

2

65.72

Ecoli

336

7

8

42.56

Append.

106

7

2

80.19

Thyroid

215

5

3

69.77

Sonar

208

60

2

53.37

Digits

5,620

64

10

10.18

SPECTF

267

44

2

79.40

  1. Name, the data set name; #Inst., the number of instances; #Attr., the number of attributes; #Classes, the number of classes; Maj. class, the percentage of instances in the majority class.
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