Sentence examples for discriminating efficiency from inspiring English sources

It classified correctly all tumors (discriminating efficiency = 100%) with an overall false prediction of 13.9% in the normal set.

The difficulty index and discriminating efficiency of each of these questions, along with the cognitive skill levels, are summarized in Table 1.

First, it has to delineate correctly (discriminating efficiency = 100%) the one-dimensional region (Rfeature_i) for either all the normal/tumor tissues using all tissue samples.

This is to say that if any of the two features (pair-wise gene expression ratio) from the unknown sample meets the criteria (Rfeature_i) to be either normal/tumor (based on our definition, Rfeature_i is a region with 100% discriminating efficiency for a specific tissue type), the unknown sample will be assigned to be normal/tumor respectively.

This is to say that if any of the two features from the unknown sample meets the criteria (Rfeature_i) to be either normal/tumor tissue type (based on our definition, Rfeature_i is a region with 100% discriminating efficiency for a specific tissue type), the unknown sample will be assigned to be normal/tumor respectively.

The resolved standardized weight of each variable (regional GBAI) reflected its relative discriminating efficiency.

It is well known that the efficiency scores suggested by classical DEA models cannot fully discriminate efficient units, and inefficient units are evaluated by a mere set of optimal weights in a self-appraisal approach.

Another goal of the current experiment was to estimate human efficiency discriminating action videos to compare to efficiency estimates for other object types.

Thus, we speculate that previous studies may fail to discriminate the efficiency of quantity production from the quality of production.

Loaded and unloaded samples could be efficiently discriminated, confirming the efficiency of the experimental compression.

The results of this experiment shed light on the spatial scale of diagnostic features for biological motion perception and allow us to quantitatively compare human efficiency for discriminating actions to previous estimates of efficiency for discriminating other types of objects.