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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.
- Author:
- Len Trigg (len@intelligenesis.net)
-
MISSING_VALUE
-
Constant representing a missing value.
-
actual()
-
Gets the actual class value.
-
predicted()
- Gets the predicted class value.
-
weight()
-
Gets the weight assigned to this prediction.
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
weight
public abstract 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
public abstract double actual()
- Gets the actual class value.
- Returns:
- the actual class value, or MISSING_VALUE if no
prediction was made.
predicted
public abstract double predicted()
- Gets the predicted class value.
- Returns:
- the predicted class value, or MISSING_VALUE if no
prediction was made.
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