Sentence examples for evaluate the classification of from inspiring English sources
In experiments, the most commonly used performance measures including sensitivity, specificity, classification accuracy and false-negative rate are applied to evaluate the classification of the five implantations of multi-class support vector machines.
These 598 instances of blood pressures were then used to evaluate the classifications of blood pressures as taken at home, taken at the office during the encounter of record, or neither as automatically generated by the software.
Therefore, they need to be adjusted using appropriate factors to yield reliable estimates of traffic parameters which are used in evaluating the classification of vehicles as well as temporal and spatial distribution of traffic [8, 12, 13].
We evaluated the classification of contamination using simulated datasets and showed that DeconSeq performed with very high accuracy.
We used the NCBI-BLAST search and evaluated the classification of NCBI Taxonomy to sort the generated sequences using specific 18S rRNA primers.
In total, we evaluated the classification of tissue samples based on different combinations of N genes and investigated the classifiers up to 10-feature model classifier.
Using simulated datasets, we evaluated the classification of rRNA-like sequences and showed that riboPicker performed with high accuracy comparable to the latest version of meta_rna (Huang et al., 2009) and BLASTn (Supplementary Material).
In rough set theory, the approximation quality γ is the traditional measure to evaluate the classification success of attributes in terms of a numerical evaluation of the dependency properties generated by these attributes.
First of all, we evaluate the classification accuracy of the proposed approach.
Another more recent study used a sliding window approach to evaluate the classification accuracy of genetic regions and combinations of genetic regions [ 23].
To evaluate the classification performance of UProC, we implemented a simulation of metagenomic short read data following the approach of Wommack et al.
