ROC from Probabilities

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:

Input ports:

Y-prob : table

Y-prob

Y-true : table

Y-true

Output ports:

roc : table

roc

pos_label (pos_label)

Label considered as positive and others are considered negative.

drop_intermediate (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 (header as label)

Use header of Y-prob as the target label

Some of the docstrings for this module have been automatically extracted from the scikit-learn library and are covered by their respective licenses.

class node_metrics.ROCFromProb