Sentence examples for classifications display from inspiring English sources

Large areas are dominated by the L class in the MLH map where the MED and ANN classifications display considerable variability in accordance with the color site composite.

The three classifications display a high degree of coincidence, with k-NN, the model that produces the more divergent catalogue of genes, showing more than 83%% of coincidence with the other two models.

The EORTC classification displayed more discordances than what PERCIST did for all scenarios.

Support vector machine algorithms method, for example, performs a higher power in two categories classification, displaying strong predictive power in diagnosing lymph node metastasis for breast cancer and cutaneous melanoma (Mocellin et al, 2006; Sattlecker et al, 2010).

When the two approaches to classify the extent of hypovolemic shock upon ED admission were compared, the new BD-based classification displayed a higher accuracy for discriminating the need for early blood products than the current ATLS classification of hypovolemic shock.

Despite the QTF classification displaying statistically significant associations at a subgroup level, it explained very little of the variance (2%) in the outcome activity limitation at an individual patient level and the predictive ability relating to sick leave was also low when measured by the AUC statistic.

The fault classifications are displayed through the information that got from the first and the second principal component and kernel principal component, and these demonstrate they have a different and good effect of classification.

Numbers of genes and GO classifications are displayed in Figure  8.

All the resulting classifications were displayed in Additional file 5 (Table S3) and used for the subsequent analysis.

Both classifications are displayed in form of hierarchical select menus to provide a convenient and consistent way of defining sample collection location and host species.

While results from Lin et al. (2008) show that both methods are similar, the superior classification performance displayed here results from the employment of the noise component, as discussed above, in our implementation.