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Prior to the construction of a final model, the predictive performance of models using different features was evaluated by performing fivefold cross-validation.
In particular, the model's estimates of the uncertainty is based in part on the historical performance of models that combine both polling and economic data, as ours does.
Performance of models was tested in validation cohorts.
The performance of models was comprehensively evaluated some statistical criteria.
Table 8 Performance of models on subsets of the compiled all-substructure set.
The performance of models under the low complexity algorithm is also more unstable.
The predictive performance of models in literature varies quite broadly, from over 90% to under 40%.
We address the issue of threshold effects on overall performance of models.
Figure 7 Relative forecasting performance of models with and without respective effects.
A large reference set with more similar compounds can improve the prediction performance of models.
Don't be, says Consumer Reports, whose tests have found the performance of models costing $300 and under to be at best mediocre.
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