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## weka.classifiers.evaluation
Interface Prediction

All Known Implementing Classes:
  NominalPrediction, NumericPrediction

    public interface Prediction

Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.

Version:
  $Revision: 1.7 $
Author:
  Len Trigg (len@reeltwo.com)

Field Summary
`static double` | `MISSING_VALUE` Constant representing a missing value.

Method Summary
`double` | `actual()` Gets the actual class value.
`double` | `predicted()` Gets the predicted class value.
`double` | `weight()` Gets the weight assigned to this prediction.

Field Detail

### MISSING_VALUE

    static final double MISSING_VALUE

  Constant representing a missing value. This should have the same value as weka.core.Instance.MISSING_VALUE

Method Detail

### weight

    double weight()

  Gets the weight assigned to this prediction. This is typically the weight of the test instance the prediction was made for.

  Returns:
    the weight assigned to this prediction.

### actual

    double actual()

  Gets the actual class value.

  Returns:
    the actual class value, or MISSING_VALUE if no prediction was made.

### predicted

    double predicted()

  Gets the predicted class value.

  Returns:
    the predicted class value, or MISSING_VALUE if no prediction was made.

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