ROC from Probabilities¶
Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.
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class
node_metrics.
ROCFromProb
[source]¶ Computes Receiver operating characteristics (ROC) based on calculated Y-probabilities and from true Y.
Configuration: pos_label
Label considered as positive and others are considered negative.
drop_intermediate
Whether to drop some suboptimal thresholds which would not appear on a plotted ROC curve. This is useful in order to create lighter ROC curves.
New in version 0.17: parameter drop_intermediate.
header as label
Use header of Y-prob as the target label
Attributes: Inputs: - Y-prob : table
Y-prob
- Y-true : table
Y-true
Outputs: - roc : table
roc