.. _`R² regression score (R2)`:

.. _`org.sysess.sympathy.machinelearning.r2_score`:

R² regression score (R2)
~~~~~~~~~~~~~~~~~~~~~~~~

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


Computes the R² regression score.
Best possible score is 1.0 and it can be negative (because the model can be arbitrarily bad). A constant model that always predicts the expected value of y, disregarding the input features, would get a R² score of 0.0)

*Configuration*:




*Attributes*:




*Input ports*:
    **Y-prob** : table
        Y-prob
    **Y-true** : table
        Y-true

*Output ports*:
    **r2 score** : table
        r2 score





.. automodule:: node_metrics

.. class:: R2Score