Sentence examples for most accurate classifiers from inspiring English sources

It is the most accurate classifiers available.

SVM are commonly referred as being among the most accurate classifiers for high-dimensional input spaces, in general, and text, in particular [10].

Frequently the most accurate classifiers are obtained by training support vector machines (SVMs) with complex sequence kernels.

Interestingly, the most accurate classifiers have been obtained by combining the new descriptors, PSSM and relevant biochemical features for input encoding.

Interestingly, the most accurate classifiers were obtained by combining the new descriptors with PSSM and relevant biochemical features for input encoding.

Classification of draft genomes reconstructed from switchgrass-adherent microbes from cow rumen with the most accurate classifiers predicted six or seven of these to represent plant biomass-degrading microbes, including a close relative to the fibrolytic species Butyrivibrio fibrisolvens.

Moreover, we observed that the RF model is the most accurate classifier producing the most precise results for all three targets.

HBE method is the most accurate classifier among the classifiers with both 10-CV and LOOCV in the DLBCL data set (Table 6).

Considering the results given in Table 4, HBE method is the most accurate classifier among others with LOOCV (96.08% accuracy) and it is the second most accurate classifier with Bayesnet at an average of 94.80% accuracy with ten-fold cross validation (10-CV).

Consideration of all these results shows that HBE method is the most accurate classifier on leukemia data set considering all validation methods including test set validation, ten-fold cross validation and leave-one-out validation.

In the lymphoma data set, HBE method is the most accurate classifier using both ten-fold-cross-validation and leave-one-out cross validation with the accuracies of 96.40% and 97.87% respectively (Table 7).