ROC from Probabilities

../../../../_images/roc_curve.svg

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
Input ports:
Y-prob:

table

Y-prob
Y-true:

table

Y-true
Output ports:
roc:

table

roc
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

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[source]