Table 8 Mean and standard error of prediction accuracy and prediction error for various methods using dataset 5.

From: Statistical Approach for Improving Genomic Prediction Accuracy through Efficient Diagnostic Measure of Influential Observation

Methods

Accuracy

MSE

Accuracy SE

MSE SE

Percentage(%) gain in Accuracy

Percentage(%) reduction in MSE

LASSO*

0.38

0.37

0.10

0.06

NA

NA

Df-Model

0.44

0.33

0.09

0.06

13.6

10.8

Df-Regpath

0.42

0.35

0.09

0.08

9.1

5.4

Df-Cvpath

0.40

0.35

0.09

0.07

4.5

5.4

Df-Lambda

0.44

0.33

0.09

0.08

13.6

10.8

Inverse Chi

0.54

0.22

0.08

0.03

36.4

40.5

Logit

0.54

0.22

0.08

0.03

36.4

40.5

Meanp

0.52

0.25

0.08

0.03

31.8

32.4

Sumz

0.54

0.22

0.08

0.03

36.4

40.5

Regression with t-error

0.34

0.38

0.10

0.06

0

0

RR

0.53

0.22

0.08

0.10

39.5

40.5

GBLUP

0.57

0.35

0.09

0.10

50

5.4

Bayesian LASSO

0.55

0.30

0.10

0.10

44.73

18.9

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