Synopsis
Learns a default value.
Description
This learner creates a model, that will simply predict a default value for all examples, i.e. the average or median of the true labels (or the mode in case of classification) or a fixed specified value. This learner can be used to compare the results of "real" learning schemes with guessing.
Input
- training set: expects: ExampleSet, expects: ExampleSet
Output
- model:
- exampleSet:
Parameters
- method: The method to compute the default.
- constant: Value returned when method = constant.
- attribute name: The attribute to get the predicted value from.