Sentence examples for best predictive ability was from inspiring English sources

To assess the effects of malaria interventions in the country after adjusting for environmental factors, the model with the best predictive ability was fitted again including additional covariates, that is the socio-economic status, the indoor residual spraying status of each household and the number of ITNs per person in each household.

Regarding SB, the model with best predictive ability was RMM1, with a 2.2% higher Pearson's correlation than other RMM.

When variants of gene properties existed, the variant with the best predictive ability was carried forward and the others were discarded.

Of the studies reporting sensitivity, specificity and related information, the best predictive ability was achieved by Hartmann et al. [ 57] and the worst by Helleman et al. [ 53].

The best model in terms of its predictive ability was further employed to predict malaria prevalence at unsampled locations using Bayesian kriging ([10]).

Predictive ability was best for the full 7th edition criteria stratifying for all substages (highest likelihood ratio χ).

To determine the best model among the entire dataset, predictive ability was evaluated using root mean square error (RMSE), mean absolute prediction error (MAPE), and predictive ratios of predicted to observed cost (PR) among deciles of predicted cost, by comparing point estimates and 95% bias-corrected bootstrap confidence intervals.

The model with the highest (Q_{loo}^{2}) value was selected as the best model, to which the external predictive ability was determined.

When the best model derived in female infants was applied to male infants, its predictive ability was considerably less than the best model for male infants (Table 4).

Likewise, when the best model derived in male infants was applied to female infants, its predictive ability was reduced compared with the best model for female infants (Table 4).

While the concordance statistics are not discernibly different from one another, the best out of sample predictive ability is achieved using the model with the prior distribution having the strongest shrinkage properties, i.e. the 'NEG3' model.> We compared the ranks assigned to a group of variants in a GWAS analysis when those ranks are calculated with and without the functional annotation data.