R² regression score (R2)

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: Inputs:

Y-prob : table

Y-prob

Y-true : table

Y-true

Outputs:

r2 score : table

r2 score

Input ports:

Y-prob:

table

Y-prob

Y-true:

table

Y-true

Output ports:

r2 score:

table

r2 score

Configuration:

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