Sentence examples for the useful variables from inspiring English sources

The highest priority for future research on multimorbidity should be given to measuring multimorbidity and to simplifying the EGPRN model, using a pragmatic approach to determine the useful variables within the concept from its outcomes.

The highest priority should be given to measuring multimorbidity and to simplifying this model, using the outcomes of a pragmatic approach to determine the useful variables of this concept.

The result indicated that the prediction model based on a back-propagation neural network is a promising method to deal with complex and non-linear data with the help of statistics in screening out the useful variables for modeling.

Without enough prior knowledge, the useful variables may be deleted by error.

This would be best achieved by working in reverse: starting with the outcomes and working back to find the useful variables within the concept.

PLS-DA results provide information about which are the most useful variables for the discrimination between the considered classes, knowledge that can be deduced from the VIP scores.

Thus, while the raw rate of unemployment has been one of the least useful variables for forecasting election results, the rate of job growth during the election year (whether measured by this variable or by closely-related ones like the net change in the unemployment rate or the employment-to-population ratio) has held up pretty well.

This means that a perceiver can improve the accuracy of the judgment by learning to rely on the more useful variables.

In discriminating between "Depression" and "Depression + ADHD", the WRAADDS subscale Impulsivity, the KSP subscale Socialization, and the thalamic tracer uptake were found to be the most useful variables.

To reduce the high dimensionality of the input variables, stepwise procedure is applied to select the most useful variables.

These variables were isolated by adopting a global data mining strategy that involved competition among a wide range of variables, and variable combinations, allowing the most useful variables to emerge in a data-driven fashion.