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Table 6 Normalized root-mean squared error(NRMSE) * of genomic predictions from different methods, obtained for five traits of a mice population

From: A comparison of statistical methods for genomic selection in a mice population

Splitting

Method

Trait

W6W

WGS

BL

%CD8+

CD4+/CD8+

Within

POL

0.099

0.114

0.123

0.138

0.145

emBayesB

0.140

0.122

0.124

0.165

0.165

RR_GBLUP

0.103

0.114

0.123

0.147

0.136

SS_BY

0.112

0.122

-

0.158

0.144

SS_ABS

0.117

0.120

0.132

0.161

0.143

RKHS

0.098

0.112

0.122

0.127

0.131

SVR

0.099

0.112

0.123

0.128

0.130

BayesCpi

0.166

0.214

0.268

1.252

0.502

BayesC

0.534

0.877

0.251

1.035

1.080

LASSO

0.172

0.137

0.127

0.204

0.196

RF

0.102

0.112

0.123

0.124

0.119

Across

POL

-

-

-

-

-

emBayesB

0.154

0.132

0.126

0.199

0.230

RR_GBLUP

0.128

0.121

0.125

0.184

0.170

SS_BY

0.141

0.126

-

0.193

0.175

SS_ABS

0.145

0.130

0.140

0.188

0.180

RKHS

0.122

0.119

0.124

0.152

0.152

SVR

0.122

0.119

0.125

0.155

0.153

BayesCpi

0.163

0.243

0.240

1.519

0.593

BayesC

0.637

0.747

0.275

0.896

1.091

LASSO

0.201

0.142

0.129

0.213

0.225

RF

0.119

0.119

0.124

0.144

0.130

  1. *Average of ten replicates. Lower values are associated with better overall fit
  2. Trait = weight at 6 weeks (W6W), weight growth slope (WGS), body length (BL), percentage of CD8+ cells (%CD8+), ratio between CD4+ and CD8+ cells (CD4+/CD8+). Splitting= splitting strategy in cross-validation (within or across-family).