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Model performance was assessed using Monte Carlo techniques.
The overall performance was assessed using volume goodness factors.
Ranking performance was assessed using the number of false positives within the top k predicted compounds.
Model performance was assessed using AUROC (area under the receiver operator curve).
Model performance was assessed using linear regression analysis, root mean square error (RMSE), and relative error.
Memory performance was assessed using a 30 word Verbal Learning Task.
Method performance was assessed using spike recovery tests and analyzing certified reference material (ERM-CA615, groundwater).
Its performance was assessed using hold-out and 4-foldcross-validation.
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].
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