Sentence examples for difficulty metric from inspiring English sources

With the incorporation of a model detection difficulty metric, we can intelligently select models from this population.

Using a detection difficulty metric, we found that model shape was consistently a significant predictor of model detection difficulty.

We demonstrate how the combination of the GAMETES model generation strategy with a model difficulty metric allows for the intelligent, automated selection of model architectures for simulation studies.

Once one of the aforementioned stopping criteria is met, all models (each having the same n-loci, h, MAFs, and K) are ordered by their difficulty metric value.

Analysis of constraints within GAMETES indicated that increasing model population size can expand model class coverage but does little to change the range of observed difficulty metric scores.

A variable population prevalence significantly increased the range of observed difficulty metric scores and, for certain constraints, also improved model class coverage.

However, the current finding is likely the result of a well-documented difficulty in applying metric labels accurately to speed stimuli rather than a true perceptual underestimation of the speed of approach (Recarte et al., 2000; Recarte & Nunes, 1996; Triggs & Berenyi, 1982).

Item difficulties (theta), a metric used to determine the place on the latent trait that the item provides the most information about individual differences [22], were provided by PROMIS and were used to identify items that capture scores at the lower end of the scale.

They are used to create interval scale measurement, can reveal metric difficulties of the measures, but also provide techniques to account for them at a statistical level in certain circumstances, for example, by item reduction, collapsing response scale options, splitting items, etc.

To empirically evaluate the fitness of various IDim estimations with the actual difficulty of searching in metric spaces, we compare two representatives of each of the broadest families of metric indices: those based on pivots and those based on compact partitions.

To analyse prior data from cross-sectional studies that developed disease-specific manual ability questionnaires in order to investigate the co-calibration of patient-perceived item difficulty on a common metric.