ROC (Python)

The ROC Cython class wraps the C++ roc curve engine. It inherits from TLine (via the C++ roc → plotting chain) so all BasePlotting properties are available.

Properties

Property	Type	Description
`Scores`	`list[float]` (write-only)	List of classifier score values (one per event). Triggers internal ROC computation on assignment.
`Truth`	`list[int]` (write-only)	Ground-truth binary labels (0 or 1, one per event).
`xBins`	`int`	Number of threshold steps used to build the ROC curve (default `100`).
`AUC`	`float` (read-only)	Area Under the ROC Curve, computed after setting `Scores` and `Truth`.
`Titles`	`list[str]`	Legend labels for each ROC curve when plotting multiple classifiers.
`xData`	`list[float]` (write-only, blocked)	Blocked — use `Scores` instead. Setting raises a warning.
`yData`	`list[float]` (write-only, blocked)	Blocked — use `Truth` instead. Setting raises a warning.

Usage Example

from AnalysisG.core.roc import ROC

r = ROC()
r.Scores = scores.tolist()
r.Truth  = truth.tolist()
r.xBins  = 200
r.Filename = "roc_curve"
r.OutputDirectory = "plots/"
r.SaveFigure()
print("AUC:", r.AUC)