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The classification was evaluated using standard metrics.
The skeletal classification was evaluated using the ANB angle [12].
This classification was evaluated by mapping the wheat grain yield in the year 2006.
The experimental tests were performed at different wheel speed and air flow rates then the performance of the air classification was evaluated by plotting the Tromp curves.
The impact of differing reconstructions on PERCIST and EORTC classification was evaluated using standardized uptake values corrected for lean body mass (SUL).
Statistical significance of the classification was evaluated by comparing the overall accuracy of the 12-gene signature with that of 1000 random signatures of the same size using the same algorithm.
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Post-classification and compound classification were evaluated for their performances in the "from to" change results.
The quality of classification is evaluated by means of real network data.
In the experiments, the proposed NR blocking metric, NR blur metric, and NR image quality metric based on image classification were evaluated using three image sets (i.e. JPEG-, JPEG2000-compressed, and Gaussian-blurred images).
The previously discussed gene models for tumor subtype classification were evaluated, with results summarized in Supplementary Table S9.
Stage and histological classification were evaluated according to the World Health Organization (WHO) 1999 lung cancer classification.
More suggestions(16)
classification was adjudicated
classification was estimated
classification was validated
division was evaluated
grading was evaluated
category was evaluated
categorisation was evaluated
classification was updated
classification was calculated
rating was evaluated
classification was analyzed
classifications was evaluated
classes was evaluated
categories was evaluated
ordering was evaluated
classification was determined
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