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:
- 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.