Package 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
Fields Modifier and Type Field Description static double
MISSING_VALUE
Constant representing a missing value.
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description double
actual()
Gets the actual class value.double
predicted()
Gets the predicted class value.double
weight()
Gets the weight assigned to this prediction.
-
-
-
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.
-
-