Sentence examples for classifications as compared from inspiring English sources

In the GEM dataset, there is a higher proportion of concordance for ER classifications as compared with PR: 1,526/1,752 (87%) agreement (Kappa = 0.66 (95% CI 0.62 to 0.70)) for ER classifications compared with 1,147/1,752 (65%) agreement (Kappa = 0.35 (95% CI 0.31 to 0.39)) for PR classifications (P for difference in proportions <2.2e-16 <2.2e-16

The NHS dataset shows similar findings, with more concordance in ER classifications as compared with PR (although the difference are smaller than seen in the mRNA vs. Protein analysis in the GEM dataset): 1,761/2,011 (88%) agreement (Kappa = 0.64 (95% CI 0.60 to 0.69)) for ER vs. 1,634/2,011 (81%) agreement (Kappa = 0.59 (95% CI 0.55 to 0.62)) for PR (P for difference in proportions = 4.3e-8).

In Figure 6 it is apparent that peak force has better classification as compared to that of latency.

MLC classification as compared to binary classification or multi-class classification attempts to take advantage of any possible dependency between the target classes in order to improve the prediction accuracy [25, 26].

a Relative abundance of direct 454 sequences and fosmid metagenomic library Illumina sequences at the phylum level, and b based on functional classification as compared to the SEED database (Overbeek et al. 2005).

Results provided by the following: first column, K-means empirical distribution; second column, aspect model 1; third column, aspect model 2. The first three rows illustrate the case of a correctly identified marked natural image context by aspect model 2, resulting in a more accurate patch classification as compared to aspect model 1 and empirical distribution.

Inspecting gene combinations may thus be more effective for cancer classification as compared to independently inspecting individual genes.

However, PLS-DA was found to perform better overall for classification, as compared to RFs.

This was therefore a comprehensive classification as compared to the other classification systems that exist for the floating knee.

The KPS, due to its eleven-stage classification, as compared to the six-stage ECOG PS classification, is somewhat more precise.

Using these variables, the percentage of correct classification as compared to clinical diagnosis reached 100% in both sensitivity and specificity (Aprox.F 3,25) = 49.42, p < 0.001).