Sentence examples for sample prediction of from inspiring English sources

The developed models are used for out of sample prediction of daily peak demand.

We model the probability of intending to complete from the 2011 Student Intentions Survey and the perform an out of sample prediction of students' intention on respondents to the 2011 Student Outcomes Survey.

The predicted utility scores with different levels of transfusion frequency were estimated using the parameter estimates from the conditional logit model and out of sample prediction of utility scores assuming scenarios where all treatment alternatives required 0, 4, and 8 transfusions per month, respectively.

For the training sample, prediction of class membership was based on the internal voting scheme for RF, whereas for PLS-DA a softmax method was used, whereby the predicted class, c∗, is the largest class probability after model predictions have been transformed on a [0,1] interval (with unit sum), that is (5) Y = y c where c ∗ = arg max 0 ≤ Z c ≤ 1, ∑ Z c = 1 (Z ^ c ).

Because the data ends in August 2011, after that date we produce out of sample predictions on the odds of recession up to 12 months into the future.

We found that both the in-sample and out-of-sample prediction of ensemble methods offered substantial improvement in predicting cardiovascular mortality compared to conventional regression trees.

This would amount to an out-of-sample prediction of the distances ("distance hats") using information from the 2 earner sub-sample.

Furthermore, the accuracy of out-of-sample prediction of extreme length of stay was low according to common standards [ 16].

21 We found that the model with RW of order 2 showed less variability in the within-sample prediction of the observed cigarettes per capita in 1991 2012, and then the RW of order 2 assumption was used (see online supplementary figure S1).

We repeated out-of-sample prediction on the sociodemographic and socioenvironmental population characteristics of each LAD in England and Wales to obtain national-level and LAD-level predictions.

We performed out-of-sample prediction to determine the magnitude of prediction errors by payer category.