Skip to main content

Table 6 Range of the estimated predictive accuracies across the classes of regularized methods for traits \(T_{1}-T_{3}\)

From: Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

 

\(T_1\)

\(T_2\)

\(T_3\)

Regularized

\(0.716-0.779\)

\(0.770-0.829\)

\(0.758-0.817\)

Adaptive Regularized

\(0.645-0.726\)

\(0.714-0.789\)

\(0.730-0.805\)

Group Regularized\(^{\dag }\)

\(0.653-0.766\)

\(0.758-0.820\)

\(0.765-0.814\)

Bayesian Regularized

\(0.730-0.763\)

\(0.767-0.807\)

\(0.756-0.794\)

  1. \(^{\dag }\) Values refer to the range of the observed mean PAs
Back to article page

BMC Genomics

ISSN: 1471-2164

Contact us