Sentence examples for predictor information from inspiring English sources

The result of a VAML game is a validated prediction model which outperformed other models and for which the overall benefit of using the predictor information has been quantified using cross-validation and by comparison to a benchmark model which ignores the predictor variables.

In practise, we have current predictor information, but the outcomes have not been realised.

However, other studies have indicated that other markers such as HER2 (Sánchez-Muñoz et al, 2008) or basal phenotype (BP) (Rakha et al, 2008) may provide predictor information.

We then computed a C-statistic for projections made on the risk of hospitalisation or death outcomes (in 2012) using the next year's predictor information (in 2011).

Singer and Willet argue that this approach is particularly appropriate to account for the shortfall of predictor information for categorical data when there are complex patterns of temporal variation of observations.

We focus on the three main issues introduced above: (1) use of imputation-specific or pooled regression coefficients for estimating predictions; (2) using predictions to estimate model performance measures and (3) the evaluation of the model performance in the context of future clinical settings where predictor information may be fully observed or partly missing.

Thus, in previous research we have tried to use speaker self-similarity as a predictor of information transmission quality in dialogues [11].

The influence of time is an important predictor of information technology use, and understanding the effect of computer-based DA on students' academic performance across time is thus necessary.

Does the predictor provide information beyond standard prognostic factors (i.e., "added value")?

With respect to patient-related factors, educational status was not recorded, which could be an important predictor of information and involvement preferences, and must as such be accounted for in future studies.

By defining these algorithms in a pipeline in which the training data gathering procedure and the learning process are automated, one can create a system that generates a classifier or predictor using information available from public resources.