An initial summarized report with the results of the calculations for each classifier is given in a table that contains a variable number of columns, which correspond to the following in the most extended output case: 1) Sequential number of each classifier; 2) selection option of each classifier to perform further analysis (by default, all classifiers are selected); 3) description name or identification code of each classifier; 4) AUC of each classifier; 5) a plus sign ('+') indicating if the classifier score has been inverted in order to force the AUC greater or equal than 0.5, 6) maximal accuracy of each classifier (ie. obtained at an optimal classification threshold that is estimated after the ROC analysis); 7) optimal classification threshold (ie. the score value that, when used as a classification threshold, leads to the maximal accuracy); 8) false positive rate obtained at the optimal classification threshold; 9) true positive rate obtained at the optimal classification threshold; 10) total number of negative subjects evaluated; and 11) total number of positive subjects evaluated. Online description is provided for each field in this table.
