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: 8034 $

Author:

Len Trigg (len@reeltwo.com)

Field Summary

Fields

Modifier and Type	Field and Description
static double	MISSING_VALUE Constant representing a missing value.

Method Summary

Methods

Modifier and Type	Method and Description
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.