Sentence examples for balancing classification from inspiring English sources

Existing metagenomic taxonomic classification algorithms, however, do not scale well to analyze large metagenomic datasets, and balancing classification accuracy with computational efficiency presents a fundamental challenge.

The data obtained for the 22 spruce populations at the four sites did not represent a fully balanced classification.

Balanced Classification Rate (BCR) is the average of sensitivity and specificity which may be defined as a measure to test classifiers ability to avoid false classification.

Table 1 Classification results Classifier* Cost TP rate FP Rate ROC area Accuracy BCR# CSC Naïve Bayes 38 54.5 20.1 79.85 6685 66 CSC Random Forest 65000 60.2 19.0 77.3 81.19 70 *CSC denotes CostSensitiveClassifier, # Balanced Classification Rate.

In a June 29 , 2012 administrative letter, Tonya Deanes, then deputy chief human capital officer, said that the VA was working to figure out how to "balance classification standards and equal pay for equal work with the potential number of resulting changes to lower grade".

We used various statistical measures such as Accuracy, Sensitivity, Specificity, Balanced Classification Rate (BCR) and Receiver Operating Characteristic (ROC) to evaluate the models.

Goosey-Tolfrey et al. [ 6] who assessed separated wheelchair athletes with or without trunk stability and balance classification found a significant difference between both groups of VO2peak (absolute and relative).

For completely balanced normal classification models, it is well known that REML and ANOVA estimators of variance components are equal.

Considering the performance measures evaluated, the proposed balancing method proved to be very promising, offering the best results when compared to the random undersampling balancing method, SBC and classification without balancing.

Accurate phenotypic classification and balancing treatment groups for different phenotypic subtypes may prevent the skewing of disease progression data in clinical trials due to expected variation in the natural history.

The use of both classification balanced accuracy and prediction balanced accuracy within the GEDT algorithm emphasizes generalizability of the final model.