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Table 4 Mean squared error (MSE) and mean absolute error (MAE) of seven methods for TNB and NBA as assessed with 20 replicates of 5-fold CV

From: Using machine learning to improve the accuracy of genomic prediction of reproduction traits in pigs

Hyperparameters

Method

TNB

NBA

MSE

MAE

MSE

MAE

 

GBLUP

5.259

1.749

4.168

1.606

 

ssGBLUP

5.26

1.748

3.95

1.532

 

BayesHE

5.32

1.763

4.023

1.556

Tuning

SVR

5.129

1.730

3.880

1.521

KRR

5.134

1.731

3.876

1.521

RF

5.212

1.747

3.901

1.527

Adaboost.R2_SVR

5.158

1.739

3.892

1.528

Adaboost.R2_KRR

5.153

1.737

3.883

1.526

Default

SVR

5.271

1.748

3.956

1.522

KRR

5.21

1.743

3.944

1.531

RF

5.266

1.756

3.93

1.531

Adaboost.R2_SVR

5.202

1.75

3.95

1.541

Adaboost.R2_KRR

5.309

1.771

4.04

1.566