Name

adams.flow.transformer.WekaRepeatedCrossValidationEvaluator


Synopsis

Performs repeated cross-validation a classifier on an incoming dataset. The classifier setup being used in the evaluation is a callable 'Classifier' actor.


Additional information

Flow input/output:
- input: weka.core.Instances
- output: adams.flow.container.WekaEvaluationContainer[]

Container information:
- adams.flow.container.WekaEvaluationContainer:
   - Evaluation: evaluation object; weka.classifiers.Evaluation
   - Model: model object; java.lang.Object
   - Prediction output: prediction output text; java.lang.String
   - Original indices: original indices (0-based); array of int
   - Test data: data used for testing; weka.core.Instances


Options