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.

Author:

Len Trigg (len@intelligenesis.net)

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

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

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.

actual

public double actual()

Gets the actual class value.

Returns:

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

predicted

public double predicted()

Gets the predicted class value.

Returns:

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