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Table 3 Prediction mean squared errors (± standard errors) by trait: Jerseys.1

From: Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

Network Fat yield (pedigree) Fat yield (genomic) Milk yield (pedigree) Milk yield (genomic) Protein yield (pedigree) Protein yield (genomic)
Linear 1.19 ± 0.07 0.86 ± 0.05 1.09 ± 0.05 0.88 ± 0.04 1.00 ± 0.04 0.75 ± 0.07
1 neuron 1.01 ± 0.04 0.74 ± 0.03 0.99 ± 0.04 0.81 ± 0.03 0.97 ± 0.04 0.71 ± 0.04
2 neurons 0.93 ± 0.05 0.70 ± 0.03 0.96 ± 0.05 0.76 ± 0.04 1.02 ± 0.04 0.72 ± 0.04
3 neurons 0.92 ± 0.04 0.71 ± 0.03 0.98 ± 0.02 0.78 ± 0.04 0.96 ± 0.06 0.80 ± 0.04
4 neurons 0.99 ± 0.04 0.84 ± 0.04 0.98 ± 0.04 0.72 ± 0.04 0.90 ± 0.06 0.70 ± 0.03
5 neurons 0.99 ± 0.04 0.86 ± 0.04 1.00 ± 0.05 0.80 ± 0.04 0.93 ± 0.04 0.77 ± 0.04
6 neurons 0.95 ± 0.03 0.77 ± 0.04 1.02 ± 0.05 0.79 ± 0.03 0.95 ± 0.03 0.76 ± 0.05
  1. 1Results are the average of 20 runs based on random partitions on the data