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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