The phrase "a final label" is correct and usable in written English.
It can be used when referring to a conclusive or definitive designation or tag for something, often in contexts like categorization or identification.
Example: "After reviewing all the options, we decided on a final label for the product that reflects its unique features."
Alternatives: "a definitive tag" or "a conclusive designation."
In the test phase, image frames are extracted from the videos and inputted into the classifier to predict a final label.
At last, the two results were combined to generate a final label.
The nominal group was also asked to agree on a final label for each of the 11 components.
In many classification approaches, a final label estimate is taken as the label voted by the relative majority of the trees, ŷ = argmax y p y| x).
To assure an accurate prediction of the testing data, each fragment was examined against the two classifiers independently, and a final label was acquired only when the results of the two classifiers converged.
Based on these results an SPIO dose of 10 µg/correspondingnding to a final labeling concentration of 50 µg/ml SPIO, was considered optimal and used in all further experiments.
The solution results in a final labeling of all nodes in the graph, including the feature nodes, which balances the diffusion of the labels with consistency with the original labeling.
In order to accommodate the high sensitivity of the IRMS, samples were diluted to a final labeling of about 1 atom% N by adding a standard (acetanilide; alice-1) to the sample.
First, a thin layer of turf, over a 10-inch layer of topsoil, over a two-inch binding layer, over a six-inch drainage layer, over a final layer labeled "subsoil formation".
This frames an optimization problem between two conditions: (i) that the function of neighboring nodes be similar (smoothness condition), and (ii) that the final label of a node be consistent with its initial label if its function was known (initial condition).
Patients with a very small number of mutations would be more likely outliers in the dataset and fail to provide sufficient information for a model to distinguish the final label with other patients.
