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Therefore, they need to be adjusted using appropriate factors to yield reliable estimates of traffic parameters which are used in evaluating the classification of vehicles as well as temporal and spatial distribution of traffic [8, 12, 13].
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In experiments, the most commonly used performance measures including sensitivity, specificity, classification accuracy and false-negative rate are applied to evaluate the classification of the five implantations of multi-class support vector machines.
We evaluated the classification of contamination using simulated datasets and showed that DeconSeq performed with very high accuracy.
In total, we evaluated the classification of tissue samples based on different combinations of N genes and investigated the classifiers up to 10-feature model classifier.
Evaluating the classification accuracy of a candidate biomarker signaling the onset of disease or disease status is essential for medical decision making.
This chapter focuses on human studies evaluating the classification performance of diagnostic biomarkers.
The net reclassification improvement (NRI) was used for evaluating the classification improvement of the biological parameters.
We summarize standard and novel statistical methods for evaluating the classification accuracy of DNA methylation markers.
We considered three scenarios when evaluating the classification performance of multi-sided features in combination on the dataset.
In the control system for powered prostheses based on SEMG signals, the classification accuracy and the delay time were regarded as two important criteria on evaluating the classification results of SEMG signals.
In some cases, there were missing data at the time point of evaluating the classification criteria, mainly about the existence of rheumatoid nodules and radiographic changes.
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