Sentence examples for classifications was assessed from inspiring English sources

Discrimination of the classifications was assessed by the area under the receiver operator characteristic curve (AuROC).

Statistical significance of the described classifications was assessed by linear general models regression procedures (GLM).

The percentage correctly classified was calculated, and the agreement between repeated BMI classifications was assessed using a weighted Cohen's kappa coefficient.

Overall differences in the median excretion level between pigs with different scores of gross pathology, histopathology and IHC classifications was assessed by the Kruskal-Wallis equality of populations rank test.

Differences in ApoE levels between clinical classifications were assessed using ANOVA.

The agreement in classification of cases based on different hierarchical clustering methods (average linkage vs complete linkage) and different IHC classifications were assessed with the κ-statistic.

The accuracy and validity of the EVC classification was assessed through on-site assessments of the soil and observations of plant species found in nearby remnants.

The accuracy of the classification was assessed by comparison with manual classification.

The accuracy of the species classification was assessed by means of the overall accuracy and kappa scores.

The accuracy of the classification was assessed by 949 random samples, each consisting of a polygon created by the segmentation algorithm.

Additionally, the magnitude and patterns of association between student performance on each of the five bar tasks and stage classification was assessed using the gamma statistic (G).