Score¶
Scores the model using given X and Y data. Exact semantics depends on the type of model (classifier, regressor, etc).
Configuration:
default method
Uses the default scoring method defined by the used model. Semantics of the scoring depend on the type of node
(classifier, regressor, etc). Otherwise the problem is assumed to be a classification problem, a single predict call is made and extended information is given for each target. If model does not implement the predict function then a transform is used instead.
- Input ports:
- in-model : model
- Input model
- X : table
- X
- Y : table
- Y
- Output ports:
- Score : table
- Score
- Use built-in default scoring (default method)
Uses the default scoring method defined by the used model. Semantics of the scoring depend on the type of node
(classifier, regressor, etc). Otherwise the problem is assumed to be a classification problem, a single predict call is made and extended information is given for each target. If model does not implement the predict function then a transform is used instead.
