Sentence examples for classification details from inspiring English sources

As the same as former, confusion matrix is utilized to show the classification details.

The extracted data included study type, number of included patients, patient characteristics, fracture characteristics according to the AO/OTA classification, details on the intervention and control group, length of follow-up and outcome measures.

However, the results can be improved by the development of urban structure types (UST) through oriented based image analysis (OBIA) method using high-resolution images (Ikonos, RapidEye, QuickBird) to raise classification details on urban morphology with good accuracy.

The suite of methods tested were meant to represent various levels of constraints imposed in the solution as well as varying levels of classification details (species level and landscape level), sources for endmembers (space-borne multispectral image, airborne hyperspectral image and in situ spectra measurements) and mixture modes (linear and nonlinear).

For example, if one compares ICD-10 to ICD-9, ICD-10 not only increases the classification details (and shifts from a numerical to an alphanumerical classification system) but also includes 'changes in the coding rules by which a single cause of death is selected from among the multiple causes reported by physicians as causing or contributing to the death' (http://cancerprofiles.ca).

For data synthesis the topics, research approaches and methods are classified and their classification details are listed below: This section includes a classification of the topics covered by each study with respect to the pre-production, production, and post-production phase issues involved.

Vegetation and land cover maps of this region have variable coarse spatial and classification detail; different regions employ distinct classification schemes and methods that make joining maps along borders difficult.

A major limitation of our research seems to lie in the degree of classification detail: even when we simply considered the potential for damage of identified errors - rather than their real outcome - more than 90% were judged to be minor/moderate errors.

* Terms not significant at the 5% level were removed (backward selection) † Derived from the logistic regression model with random effects ‡ OR for a 5-year increase # OR for a 1-patient increase ** ATC classification detailed in additional file †† Errors were observed on 354 administrations only (and not 415) due to omissions.

Deforestation rate estimates are affected by a number of technical factors in many cases not well documented, including inconsistent definitions of forest used in the three classifications, details of how data were processed, expert knowledge, etc.

We extend the approach to perform probabilistic classification (more details in "Methods" section).