EnsembleClassifierChains

Signals

Inputs:

• Learner

  The base learner used in the ensemble technique.

Outputs:

• Learner or Classifier

Description

Ensemble classifier chain learner takes a single-target learner and with it creates a number of classifier chains. Each chain is constructed on a random sample of the dataset.

Setting:

• Number of chains

  Number of classifier chains that are built.

• Sample size

  The size of the random sample taken from the dataset for each chain.

• Use actual values

  If checked, the values added into features are actual values from the data. Otherwise the values predicted by the classifier are used.