Sentence examples for the proportion of classification from inspiring English sources

The percentages of classification errors obtained by normalization methods could be used to obtain a 95% confidence interval of the mean of the proportion of classification errors for the normalization.

We computed the proportion of classifications in the MR that received concordant classifications by TMA and computed Kappa statistics for each of the four ER/PR subtypes (similar to the analysis in the GEM dataset).

The relationship between the SI index and the proportion of classifications of the Eff stimulus across the population of cells (Fig. 3A) shows a robust correlation between the SI of individual neurons and the classification of the AS image (r = 0.45, P = 0.0001, n = 67).

This therefore generated k sets of SVM training and test sets that produced overall classification accuracy from the proportion of correct classification "guesses" across all k folds of the cross-validation.

The true positive rate (y-axis) gives the proportion of correct classification of two syllables belonging to the same class (true positive).

In computing the proportion of incorrect classification by the ensemble, one should therefore divide not by as in (12), but rather by minus the number of times when the out-of-bag ensembles are empty, which leads to the following modified out-of-bag estimator: (13).

The proportion of correct classification (0.926), the kappa index (0.853), and the AUC (0.974) confirm the good performance of the model.

The kappa index and the proportion of correct classification were used to evaluate the concordance between the observed and the predicted methylation status.

Classification and permutation testing were performed separately for the left and right hemisphere and separately for Experiment 1 and Experiment 2. In order to investigate the consistency of correct classifications for each voxel, we calculated the proportion of correct classifications for each voxel across subjects.

Although not reported here, in our case, the two measures to estimate the expected proportion of classification errors and the closeness of association between the latent variable and the joint variables shows that no big uncertainty would appear during the process of assignment.

Accuracy was used as measurement for the proportion of true classifications by DeconSeq and calculated for thresholds of 95% query coverage and varying alignment identity.