|  | ## Bagging

#### 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

#### ExampleProcess