R² regression score (R2)

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

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

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.R2Score[source]