Fig. 4
From: Accuracy of genomic selection for alfalfa biomass yield in different reference populations
Prediction accuracy of four genomic selection models at different genotype missing data thresholds. Results for Support Vector Regression with linear (SVR-lin) and gaussian (SVR-gau) kernel, Random Forest Regression (RFR), Ridge Regression BLUP (rrBLUP), Bayes A, Bayes B and Bayesian Lasso models applied to Po Valley (PV_Joint) and Mediterranean (Me_Joint) data sets subjected to joint SNP (random forest imputation of missing data)