"classifiable in" is a correct and usable phrase in written English.
It means that something can be categorized or classified within a certain group or system. You can use it when discussing the placement of a subject or object within a larger classification. Example: The book is easily classifiable in the science fiction genre.
On retrospective review of the CT, the patients were classifiable in two main patterns: unilateral lung destruction with residual cystic bronchiectasis (11/13, 85%) (Fig. 1) and unilateral lung destruction without residual cystic bronchiectasis (2/13, 15%) (Fig. 2).
A further 10%% of the profiles had three regions with distinct scale heights, while the vertical structure of the topside ionosphere was not readily classifiable in the remaining profiles.
For all intents and purposes, most people would dub Orange Milk an experimental label, as its catalog is so vast, and so idiosyncratic on a release-to-release basis, that the sounds are not really classifiable in any other way.
Ten isolates were not classifiable in this sense.
Tumor stages were localized in 43%, locally advanced in 11%, metastatic in 19%, and not classifiable in 28% of patients.
It the cases were not classifiable in one of the three above-mentioned categories they were excluded from the study.
During the 19 years of follow-up, we observed 43 836, 28 702, and 19 670 cases of prostate cancer in the three cohorts of men who had classifiable jobs in 1960, classifiable jobs in 1970, and the same physical activity level in both 1960 and 1970 censuses, respectively.
The subclass contains the Cuntz algebras O with n even, and the Cuntz-Krieger algebras OA, with K0 OA of finite old order, and it is closed under forming inductive limits. The C*-algebras in the classified subclass can be viewed as classifiable models (in a strong sense) of general, simple purely infinite C*-algebras with the same K-theory.
A classifier reports that only 60% of the data points are classifiable, when in fact 90% of the points should have been classified (and worse, there is a bias in which points were classified, so those 60% are not representative).
The ECG app demonstrated 98.3% sensitivity in classifying AFib and 99.6% specificity in classifying sinus rhythm in classifiable recordings".
Firmicutes and Bacteroidetes were the two most dominant phyla and they comprised an average of 93.04% of total classifiable sequences in all groups (group 1: 92.77%, group 2: 93.95%, and group 3: 92.37%) (Fig. 2), as previously reported in many studies [18].
