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Table 10 Spectral partitioning parameter optimization on generic data sets

From: LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks

Data set

Measure

Fold

Internal CV

External CV

Optimal parameters

AUC

AUPR

AUC

AUPR

thresholding

m

MovieLens

JC\(_{CC}\)

1

Local median

12

0.82

0.23

0.80

0.28

2

Individual median

11

0.82

0.18

0.83

0.22

3

Local median

10

0.82

0.23

0.82

0.25

4

Local median

11

0.82

0.22

0.83

0.27

5

Local median

13

0.82

0.24

0.83

0.26

JC\(_{NC}\)

1

Local median

6

0.88

0.29

0.89

0.39

2

Local median

5

0.88

0.29

0.88

0.37

3

Local median

5

0.88

0.30

0.89

0.36

4

Individual median

4

0.88

0.30

0.89

0.38

5

Local median

6

0.88

0.30

0.88

0.36

Unicodelang

JC\(_{CC}\)

1

Individual median

54

0.70

0.05

0.72

0.02

2

Individual median

54

0.68

0.05

0.65

0.01

3

Individual median

55

0.69

0.03

0.68

0.02

4

Individual median

54

0.70

0.04

0.66

0.02

5

Individual median

57

0.68

0.02

0.68

0.01

JC\(_{NC}\)

1

Individual mean

3

0.79

0.14

0.79

0.13

2

Local median

9

0.77

0.13

0.77

0.11

3

Individual sum

16

0.78

0.13

0.78

0.16

4

Default

16

0.79

0.13

0.78

0.19

5

Global mean

7

0.78

0.15

0.78

0.25