Table 2.

Effective number of parameters, predictive correlations, and mean squared errors of prediction: wheat.¹

ANN architectures	Linear	1 neuron	2 neurons	3 neurons	4 neurons
Criterion
Effective number of parameters	299 ± 5.5	260 ± 6.1	253 ± 5.9	238 ± 5.5	220 ± 2.8
Correlations in testing set	0.48 ± 0.03	0.54 ± 0.03	056 ± 0.02	0.57 ± 0.02	0.59 ± 0.02
Mean squared error in testing set	0.99 ± 0.04	0.77 ± 0.03	0.74 ± 0.03	0.71 ± 0.02	0.72 ± 0.02

¹ The training-test partitions for this data were random and repeated 50 times; standard errors in parentheses