If input is Instances, build this Evaluator. If Instance, use the built Evaluator.
The name of this evaluator is used for storing the evaluation result.

Additional information

Flow input/output:
- input: weka.core.Instances, weka.core.Instance,, adams.flow.container.EvaluationContainer
- output: adams.flow.container.EvaluationContainer

Container information:
- adams.flow.container.EvaluationContainer:
   - Instance: data row; weka.core.Instance
   - Instances: dataset; weka.core.Instances
   - Evaluations: mapping of evaluations (String/Object); java.util.Map
   - Evaluator: evaluator used;
   - Classification: classification; java.lang.Double or java.lang.String
   - Abstention classification: abstention classification; java.lang.Double or java.lang.String
   - Distribution: class distribution; double[]
   - Component: component name; java.lang.String
   - Version: version; java.lang.String
   - ID: (optional) ID; java.lang.String
   - Report: report for storing meta-data;