Calculation of predictive performance measures like precision-recall or ROC curves.
Specification whether rows containing the “Indicator” in the categorical column specified in “In column” correspond to the class under observation or not (default: False).
Selected categorical column containing the class membership of each instance (row) of the class under observation (default: first categorical column in the matrix).
Rows containing the defined string are counted as true or false depending on the selection in “Indicated are” (default: +).
Selected expression columns containing the scores by which the rows are ranked to calculate the specified quantities (default: first expression column of the matrix is selected).
If checked the larger the score value the better (default: checked). Otherwise the lower the value the better.
Selected quantities that will be calculated (default: no quantities are selected). The quantities can be selected from a predefined list: