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In this context s becomes the root mean Predictive Error of Estimate (PRESS).
On the other hand, Sullivan & Ghushchyan reported that the CLAD demonstrates the lowest mean predictive error, followed by OLS and Tobit [ 19].
We thus get the mean predictive error.
Similar(57)
The resulting 60 different mean predictive errors were used to select the optimal model.
This is only slightly less than the R2 values of 0.90 and 0.92 respectively for the models that included all 20 components but these models had larger mean predictive errors.
Table 2 shows the R2 values and the mean predictive errors using leave-one-out cross validation for all generated models for the sentinel and the laboratory models respectively.
The validation process showed that when comparing all the generated mean predictive errors for the different models, the model that included four components had the best (that is, the lowest) values in all but five versions of the cross validation for the laboratory data, and for all but sixteen versions for the sentinel data.
The Pearson's coefficient (r), root mean-square error (RMSE), and mean-predictive error (MPE), which describe correlation, precision and bias, respectively, were calculated to determine the best LSMs.
The measure for predictive performance was calculated as the mean prediction error of the individual predicted minus observed HbA1c at end-of-trial for each arm.
First, to optimize the bandwidth of the day-of-year Gaussian, the mean predictive squared error (PSE) on a training set consisting of the first six years of ED visit data was calculated for a range of bandwidths using 10-fold cross-validation for a model containing only the day-of-week and day-of-year covariates.
The best model explained 57.5% of total deviance with a high mean Jackknife predictive error (29.9%).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com