Sentence examples for absolute predictions from inspiring English sources

Finally, I think we're looking for conditional predictions — what happens given events that are themselves not part of the model — not absolute predictions.

One solution has been to suggest that PVA should not be used to make absolute predictions about parameters such as the expected time to extinction.

The author argues that the problem is that the choice of such prominent features, capable of causing observable distortions, is not immediate, and universal, therefore, it does not allow absolute predictions.

Because the ER QTL make relative (not absolute) predictions about within-strain variation, we used the average within-strain varatioe ratio for genes not predicted to be different between the two strains as a baseline for comparison to our predictions (to account for the possibility that one strain tends to be more variable in general than the other, which would skew the confirmation results).

Thus, it is important to derive principal population trends from the SGM model results rather than absolute predictions.

Just as for experimental models in biology, relative predictions by in silico models may be more useful than absolute predictions.

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.

Two questions of interest arise: 1) Which statistical model works best for our sample of over 500,000 patients if the criteria for the prediction model are low root mean square error (RMSE), low mean absolute prediction error (MAPE), and predictive ratio (PR) around 1 for the entire range of patient costs?

Even for other fan votes, where the absolute prediction error is relatively large, the predicted values give a good indication of the relative rank of the stories.

The final model had good aggregate and individual level predictive accuracy, with the mean absolute prediction error estimated at 20% of the mean cost (see Additional file 1: Table S5).

The performance of each alternative model was compared by its predictive R-square and mean of absolute prediction error (MAPE) estimated by the validation sample.