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Clinically useful predictive models should demonstrate ease of use, accuracy, reproducibility and acceptance by data collecting stuff [ 46].
Ideally, future studies should be sufficiently large and detailed to enable stratification of USE accuracy results according to nodal histology and determine the accuracies of USE for both unselected and selected populations.
In order to evaluate EvoLabelPred, we use accuracy to assess the quality of computed labels towards the ground truth that we established in Sect.
The results of Etzione et al. [7] are evaluated considering AUC measure, and Gamallo et al. [25] use accuracy to evaluate their work.
Submit a feature subset of food sources to the classifier and use accuracy as fitness: the feature subset of each food source is submitted to the classifier, and accuracy is stored as the fitness of food source.
4. Submit a feature subset of neighbors to the classifier and use accuracy as fitness: the feature subset created for each neighbor is submitted to the classifier, and accuracy is stored as the neighbor's fitness. 5.
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We present classification results using accuracy as our performance metric.
In terms of selecting an overall best-performing method, we used accuracy.
A regression was also run using accuracy data transformed to A' (Zhang & Mueller, 2005).
As a metric, we used accuracy for classification and RMSE for regression.
For the measurement scale used, accuracy for the NO X emission measurements, reported in percentage, was ±0.3%%.
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