Table 1

CV/TBV

Sample size

Random Forests

Boosting

Support Vector Machines

Ridge Regression BLUP


Mean

Range

Mean

Range

Mean

Range

Mean

Range

Mean

Range


CV

439

416-514

0.466

0.392-0.534

0.503

0.431-0.567

0.503

0.432-0.567

0.530

0.451-0.620


TBV

900

0.483

0.547

0.497

0.607


Predictive accuracies of random forests, boosted regression trees, epsilon support vector machines and RR-BLUP, expressed as the Pearson correlation between GEBVs and observed values from the 5-fold cross-validation (CV) and between GEBVs and TBV for non-phenotyped individuals (TBV).

Ogutu et al. BMC Proceedings 2011 5(Suppl 3):S11   doi:10.1186/1753-6561-5-S3-S11

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