Sentence examples for apparent metrics from inspiring English sources

Field-of-view (FoV) is one of the most apparent metrics in virtual reality headsets for achieving immersion and presence.

Most apparent metrics for accuracy estimation is distance between prediction point and edge of a class, i.e. the more is the distance between prediction the edge of the class, the more reliable and accurate is the prediction of given compound.

If this nonlinearity in the upper portions of the range continues to be observed when using R, but is reduced or not apparent for other metrics of prediction of exposure, then these metrics should be preferred.

As knowledge of biological systems has increased, it has become apparent that these metrics are often incongruent.

Classifier performance was measured using three metrics: apparent error, leave-one-out cross-validation error and the 632+ error rate estimator [ 16].

Lidar remote sensing, in particular, has emerged as a popular technology for mapping aboveground biomass in high biomass systems, as there is no apparent saturation of lidar metrics with high biomass provided that the lidar pulses penetrate to the ground [22].

We defined heat-waves using two heat metrics: daily apparent maximum air temperature (TAppMax) [ 29] and daily maximum temperature (Tmax).

The NWS algorithm agreed best with Steadman's apparent temperature by all metrics considered and for both of Steadman's original tables.

ANOVA for Study 1 demonstrated that the greater the time elapsing between experiments, the greater the experimental variability apparent in the QuaMeter metrics.

In turn, a localized performance metric, such as the Spearman correlation coefficient among the top and bottom 10% individuals, could detect regional patterns that may not be necessarily apparent from overall performance metrics, such as cross-validation predictive ability.

One of the more intriguing qualities of the centrality metrics is the apparent grouping of nodes in the scatter plots, particularly in those including leverage and eigenvector centralities.