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)
Definition¶
Input ports¶
- Y-prob table
Y-prob
- Y-true table
Y-true
Output ports¶
- r2 score table
r2 score
Implementation¶
- class node_metrics.R2Score[source]