weka.classifiers.evaluation
Class NumericPrediction

java.lang.Object
  |
  +--weka.classifiers.evaluation.NumericPrediction

All Implemented Interfaces:

Prediction, java.io.Serializable

public class NumericPrediction

extends java.lang.Object

implements Prediction, java.io.Serializable

Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.

Author:

Len Trigg (len@intelligenesis.net)

See Also:

Serialized Form

Fields inherited from interface weka.classifiers.evaluation.Prediction

MISSING_VALUE

Constructor Summary

NumericPrediction(double actual, double predicted)
Creates the NumericPrediction object with a default weight of 1.0.

NumericPrediction(double actual, double predicted, double weight)
Creates the NumericPrediction object.

Method Summary

double	actual() Gets the actual class value.
double	error() Calculates the prediction error.
double	predicted() Gets the predicted class value.
java.lang.String	toString() Gets a human readable representation of this prediction.
double	weight() Gets the weight assigned to this prediction.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

NumericPrediction

public NumericPrediction(double actual,
                         double predicted)

Creates the NumericPrediction object with a default weight of 1.0.

Parameters:

actual - the actual value, or MISSING_VALUE.

predicted - the predicted value, or MISSING_VALUE.

NumericPrediction

public NumericPrediction(double actual,
                         double predicted,
                         double weight)

Creates the NumericPrediction object.

Parameters:

actual - the actual value, or MISSING_VALUE.

predicted - the predicted value, or MISSING_VALUE.

weight - the weight assigned to the prediction.

Method Detail

actual

public double actual()

Gets the actual class value.

Specified by:

actual in interface Prediction

Returns:

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

predicted

public double predicted()

Gets the predicted class value.

Specified by:

predicted in interface Prediction

Returns:

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

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.

Specified by:

weight in interface Prediction

Returns:

the weight assigned to this prediction.

error

public double error()

Calculates the prediction error. This is defined as the predicted value minus the actual value.

Returns:

the error for this prediction, or MISSING_VALUE if either the actual or predicted value is missing.

toString

public java.lang.String toString()

Gets a human readable representation of this prediction.

Overrides:

toString in class java.lang.Object

Returns:

a human readable representation of this prediction.