Synopsis
Bagging operator allowing all learners (not restricted to Weka learners).
Description
This Bagging implementation can be used with all learners available in RapidMiner, not only the ones which originally are part of the Weka package.
Input
- training set: expects: ExampleSet
Output
- model:
- example set:
Parameters
- sample ratio: Fraction of examples used for training. Must be greater than 0 and should be lower than 1.
- iterations: The number of iterations (base models).
- average confidences: Specifies whether to average available prediction confidences or not.
- use local random seed: Indicates if a local random seed should be used.
- local random seed: Specifies the local random seed