Table 2 Results of EXTRAE algorithm on ARAIDS dataset using different seed sizes, based on their F-measure, AUC-ROC, and AU-PRC.

From: Discovering HIV related information by means of association rules and machine learning

ARAIDS dataset

Seed size

Iterations

p-value

F-measure

AUC-ROC

AU-PRC

10

5

1.03E−12

0.62

0.69

0.70

15

4

1.03E−12

0.68

0.71

0.71

20

7

1.03E−12

0.72

0.77

0.77

25

5

1.12E−13

0.79

0.84

0.83

35

8

1.12E−13

0.84

0.88

0.88

50

9

1.12E−13

0.81

0.85

0.85

75

4

1.25E−13

0.80

0.84

0.83

100

6

1.25E−13

0.75

0.79

0.80

125

7

1.25E−13

0.76

0.81

0.81

150

5

1.25E−13

0.71

0.74

0.74

  1. Iterations is the max. number of iterations reached and p-value is obtained automatically using the filter approach on the seed set. Best results appear in boldface.
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