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Interface weka.classifiers.evaluation.Prediction


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

Version:
$Revision: 1.4 $
Author:
Len Trigg (len@intelligenesis.net)

Variable Index

 o MISSING_VALUE
Constant representing a missing value.

Method Index

 o actual()
Gets the actual class value.
 o predicted()
Gets the predicted class value.
 o weight()
Gets the weight assigned to this prediction.

Field Detail

 o MISSING_VALUE
public static final double MISSING_VALUE
          Constant representing a missing value. This should have the same value as weka.core.Instance.MISSING_VALUE

Method Detail

 o weight
public 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.
 o actual
public double actual()
          Gets the actual class value.
Returns:
the actual class value, or MISSING_VALUE if no prediction was made.
 o predicted
public double predicted()
          Gets the predicted class value.
Returns:
the predicted class value, or MISSING_VALUE if no prediction was made.

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