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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.