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)
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Ports:
Inputs:
Y-prob: table
Y-prob
Y-true: table
Y-true
Outputs:
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.