The phrase "a misclassification of" is correct and usable in written English.
It can be used when discussing an error or mistake in categorizing or labeling something incorrectly.
Example: "The report revealed a misclassification of the data, leading to inaccurate conclusions."
Alternatives: "an incorrect categorization of" or "a wrong labeling of".
For the whole sound-database however there was a misclassification of 21%.
However, it should always be borne in mind that any small-scale inaccuracies in the data – for instance a misclassification of land cover in a given locality – can lead to inaccuracies in estimated losses at a local level.
To identify factors associated with a misclassification of the true disease stage by comparing the differences between the clinical and pathologic stage of patients with early-stage non-small cell lung cancer (NSCLC).
Evaluation of the method showed that 74% of the defoliation was detected with a misclassification of undisturbed areas of 39% in MODIS pixels with at least 50% birch forest cover.
Among false-positive cases, 85.6% were due to a misclassification of mild or moderate DR. Undetected intraretinal microvascular abnormalities accounted for 77.3% of all false-negative cases.CONCLUSIONS: This artificial intelligence-based DLA can be used with high accuracy in the detection of vision-threatening referable DR in retinal images.
This procedure might have led to a misclassification of the non-migraine subjects.
The R83C mutation was also demonstrated in one homozygous and five heterogenous GSD type 1a patients, indicating that type 1aSP is a misclassification of GSD type 1a.
Red arrow: A misclassification of possible clinical importance where G reported PMD (30.8 % increase in SULpeak) and the other observers reported SMD (28.6 %).
We believe that the application of cost-sensitive classification depends on the goals to be achieved, and accordingly the cost of having a misclassification of each type.
This means that in our study the categorization of test scores into five proficiency levels may inherently lead to a misclassification of about 24%, without taking divergent classifications (TOEFL/German NA) into account.
This procedure might have led to a misclassification of the non-migraine subjects, as suggested by Elkind and Scher [34], and to the enrolment of individuals with very mild migraine, in terms of frequency and intensity of attacks.
