The phrase "a classification out of" is not standard in written English and may cause confusion.
It could be used in contexts discussing the origin or source of a classification, but it is not commonly used.
Example: "The study provided a classification out of various species based on their genetic similarities."
Alternatives: "a classification derived from" or "a classification based on".
In most cases, this classification is based on the mode of accessing and enumerating the population rather than a classification developed out of fitting answers to a specific set of questions into a definition.
Measurement and Classification of Out-of-Sequence Packets in a tier-1 IP backbone, Sharad Jaiswal, Gianluca Iannaccone, Christophe Diot, Jim Kurose, Don Towsley.
Classification of out-of-hospital death is often based on limited information, due to its sudden onset or unwitnessed occurrence.
Here he extends the discussion of variation developed in chapter one into an attack on the traditional" Linnaean" understanding of classification as a sorting out of species by means of essential defining properties.
Examining the training set, first test set and blind test set resulted in a high out-of-bag classification error (44%) and poor classification in terms of sensitivity/specificity, that is in the training set 73%/22%, in the test set 72%, 27% and in the blind validation set 76%/31%, respectively.
Our validation showed LFM is appropriate to discriminate between patients and healthy subjects, showing a good sensitivity in identifying pathological gaits and a good specificity (only one false classification out of 15 in the pathological cluster definition).
According to our modified Seifert classification, out of 42 cases 14 patients were classified as stage-1 disease, stage-2 disease, and stage-3 disease, respectively.
The receiver operating characteristic (ROC) curve and survival analysis demonstrated the best sensitivity and specificity for the ≤1.0 mm and >1.0 mm classification out of 50 subclassifications in tenths of millimeters.
Comparing the pathologist and random forest classification, the overall out-of-bag estimate of classification error dropped from 23% to 13% when favor RCC and cannot exclude RCC were combined into 1 category.
The latter can also be influenced by policy decisions taken by the European Commission (e.g. the granting of additional preferential import quotas and the re-classification of "out of quota production" as "in quota production" which can be marketed domestically).
