explainedvariance
Computes Explained Variance Regression Score from the actual and predicted outputs. It represents the amount of variance explained by the model with respect to variance of the actual output, where the best value is 1 and the worst is 0.
Syntax
Score = explainedvariance(targets,predictions)
Inputs
- targets
- Actual label for each observation.
- predictions
- Predicted value for each observation.
Outputs
- Score
- Explained variance of the regression model.
Example
Usage of explainedvariance
targets = [3, -0.5, 2, 7];
predictions = [2.5, 0.0, 2, 8];
score = explainedvariance(targets, predictions);> score
score = 0.957173448