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Exact(6)
Of course, scaling up comes with an inherent trade-off in terms of the accuracy of classifications with regard to any one child.
The accuracy of classifications of the intertidal and subtidal cover types, as indicated by the agreement between the mapped (predicted) and reference (ground) data, was 77 88%, depending on the zone and level of generalization required.
The main result was that classifications derived from the use of the mixed spectral responses and the conventional approach did not differ significantly, with the overall accuracy of classifications generally ∼ 92%.
Parameters such as sensitivity, specificity, positive and negative predictive values, and accuracy of classifications are reported.
Accuracy of classifications increases with longer contigs [ 51], so only contigs at least 1000 nucleotides in length were used.
The accuracy of classifications was 47% (SD = 4.4%), 49% (4.3%) and 52%4.9%9%) for the marginal distributions of EVA (multivariate and univariate) and C-EVA, respectively.
Similar(54)
Feature sparsity would greatly reduce the accuracy of classification [5].
The accuracy of classification and feature selection is discussed.
The accuracy of classification and, therefore generalization and the speed of learning depends on several factors.
Having such a large feature set can reduce both the efficiency and accuracy of classification.
The accuracy of classification with 10-fold cross-validation is 87.5 with about three HVGE features.
Related(18)
accuracy of clusters
refinement of classifications
reliability of classifications
accuracy of scales
accuracy of statistics
accuracy of dimensions
accuracy of category
accuracy of grade
accuracy of classifying
accuracy of grading
accuracy of ranking
accuracy of classified
accuracy of social
accuracy of polls
accuracy of classifiers
accuracy of estimates
accuracy of maps
accuracy of classification
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