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Logistic regression was performed using the glm function in R (Hastie and Pregibon 2007), and model performance was assessed using the nonbinROC package in R (R Core Development Team 2011).
Ranking performance was assessed using the number of false positives within the top k predicted compounds.
Cognitive performance was assessed using the Wechsler Adult Intelligence Scale-Revised (WAIS-R).
Pre- and post-stimulation working memory performance was assessed using the 2 and 3-back.
Model performance was assessed using the Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) score generated by Maxent [13].
Sensitivity, specificity, PPV, NPV, and accuracy were calculated, and the operator's diagnostic performance was assessed using the learning curve cumulative summation test (LC-CUSUM).
Similar(19)
The performance is assessed using the following metrics.
Previously inaccessible membrane architectures based on triply-periodic minimal-surfaces are manufactured and their performance is assessed using the analogy between heat- and mass transport.
The CSIDOP method performance is assessed using the test dataset of 3812 human interaction pairs.
Robustness of the models was evaluated using a jack-knife approach, model performance being assessed using the area under the curve (AUC) of a receiver operating characteristic (ROC) plot [9].
The performance is assessed using the three reference sets of binary interactions: HINT, Y2H and PCA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com