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Table 2 Comparison of predictive errors in four models by leave-one-out cross validation

From: A spatial model to predict the incidence of neural tube defects

Models

CV R 2

M

RMSPE

Generalized linear regression

0.234

−0.25

0.993

Universal kriging

0.164

0.414

1.17

GAM

0.582

−0.135

0.734

Our model of spatial residual

0.804

−0.045

0.502

  1. CV R 2-cross validation R 2; M: Median (IQR) of prediction error.
  2. RMSPE: the squared root of the mean of the squared prediction errors.
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BMC Public Health

ISSN: 1471-2458

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