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Table 18 Summary of estimated LPLMs as ρ varies

From: Ridge regression estimated linear probability model predictions of O-glycosylation in proteins with structural and sequence data

 

ρ

0.05

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.81

0.815

0.82

0.85

In sample

SBC

1710

1318

1257

1133

1036

931

878

798

761

749

737

751

723

Variables

12

39

92

91

73

34

50

41

38

54

51

51

39

KS (%)

78.0

89.4

94.1

95.7

95.2

91.3

95.2

95.5

95.7

96.8

96.7

96.6

95.8

Brier Score

0.115

0.062

0.031

0.023

0.025

0.038

0.026

0.026

0.025

0.017

0.018

0.019

0.022

–2×L(·)

1610

1013

547

431

471

664

489

478

463

329

340

354

418

Out of sample

Brier Score SNR

1.76

2.55

1.47

1.86

2.18

1.85

3.42

1.59

4.32

3.75

2.00

7.78

3.06