The phrase "aggregated predictions" is correct and usable in written English.
It can be used in contexts where multiple predictions or forecasts are combined to form a single, comprehensive prediction.
Example: "The aggregated predictions from various models indicate a significant increase in sales for the upcoming quarter."
Alternatives: "combined forecasts" or "consolidated predictions".
In a real situation, without the gold standard, one would not know which participants fare better; in such a case performance of randomly aggregated predictions would fall between these two extreme cases of aggregation.
The comparative L-criteria for cross-validatory fit (over the 24 months in 2010-11) are 2.43 (aggregated predictions over sub-regions) and 3.70 (single region approach).
It is relevant to assess how far aggregated predictions (totalling over models for each of the nine regions) compare with predictions from a single model applied to the extent time series for the entire Arctic sea (i.e. to the data summarised in Table 1).
Thus although our aggregated predictions regarding the increase in HZ incidence following varicella vaccination may appear similar to those published using deterministic models, cost-effectiveness analyses using our VZV IBM would be more in favor of universal childhood varicella vaccination.
The aggregated predictions of four classes are assessed based on the overall accuracy (number of correctly predicted trials over all trials) and mean MCC (over the four MCC values computed for each class label).
However, to have an estimate of the prediction ability of DOTS-Finder, we decided to compare the aggregated predictions for 12 cancer types with the results of a well-documented Pan-Cancer 12 global analysis [ 16] (Text S1a and Figure S1B in Additional file 1).
The other reason this correspondent does not agree with the aggregated prediction above is that the supply to the strikers should also be better this season.
The distribution of the aggregated prediction error of regional wind farms is selected as the criterion to evaluate the accuracy of different spatial models.
Finally, a pruning Bagging method is proposed to establish the aggregated prediction model for the sake of overcoming the limitation of individual predictor and further improving the prediction performance.
m is a given function that accepts several predictions for the same edge and outputs an aggregated prediction.
In practical terms, the aggregated prediction of all teams as shown by Figure 3B is still a very good prediction for the perturbations effect.
