.. _`ROC from Probabilities`:

.. _`org.sysess.sympathy.machinelearning.roc_prob`:

ROC from Probabilities
~~~~~~~~~~~~~~~~~~~~~~

.. image:: roc_curve.svg
   :width: 48


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.

    .. versionadded:: 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

*Ports*:

    **Inputs**:

        :Y-prob: table

            Y-prob
        :Y-true: table

            Y-true

    **Outputs**:

        :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.

        .. versionadded:: 0.17
           parameter *drop_intermediate*.
    **header as label**
        Use header of Y-prob as the target label

.. automodule:: node_metrics

.. class:: ROCFromProb