Sentence examples for prediction settings from inspiring English sources

The paper proposes a new method for variable selection for prediction settings and soft sensors applications.

The Naïve Bayes algorithm was selected due to its basic implementation and demonstrated ability to perform in a variety of target prediction settings [28, 39, 40].

Using the joint modelling framework, we are interested in two prediction settings previously defined [ 6].

The proposed prediction settings can account for relapse history or not.

Overall, all of the studied prediction settings gave better results than the Kaplan-Meier, with a higher R for both predictions accounting for relapses.

This finding leads to a severe problem, at least for multivariate prediction settings with several continuous covariates: For every combination of covariates only one response observation will be available under almost any practical circumstances.

The ML method estimates the parameters in a prediction error settings, i.e. the sum of squared prediction error is minimized.

Caution must be taken with interpreting the predictions for settings with low transmission intensities since the model was created used data from mainly medium and high transmission settings and does not take into account variables such as heterogeneity in transmission or decay of immunity which may have strong effects in low transmission settings [52].

Moving average and autoregressive linear models (see Section 7) are commonly used for deterministic settings prediction.

In a Grey prediction, the parameter settings are highly relevant to the accuracy of forecasting.

In our practice with the given settings, prediction miss rate is saturated to approximately 5% with 16X and 32X scaling factors.