Score¶
Scores the model using given X and Y data. Exact semantics depends on the type of model (classifier, regressor, etc). Typically, for classifiers the score will be the mean accuracy (fraction of correct predictions out of all predictions).
Definition¶
Input ports¶
- in-model
- X
- Y
Output ports¶
- Score
Configuration¶
- Use built-in default scoring (default method)
Use the default scoring method defined by the used model. 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.
Examples¶
The node can be found in:
Implementation¶
- class node_application.Score[source]
