edu.udo.cs.yale.operator.performance
Class RootMeanSquaredError

java.lang.Object
  edu.udo.cs.yale.operator.AbstractIOObject
      edu.udo.cs.yale.operator.ResultObjectAdapter
          edu.udo.cs.yale.tools.math.Averagable
              edu.udo.cs.yale.operator.performance.PerformanceCriterion
                  edu.udo.cs.yale.operator.performance.MeasuredPerformance
                      edu.udo.cs.yale.operator.performance.SimpleCriterion
                          edu.udo.cs.yale.operator.performance.RootMeanSquaredError

All Implemented Interfaces:

IOObject, ResultObject, java.lang.Cloneable, java.lang.Comparable<Averagable>

public class RootMeanSquaredError
extends SimpleCriterion

The root-mean-squared error. Mean-squared error is the most commonly used measure of success of numeric prediction, and root mean-squared error is the square root of mean-squared-error, take to give it the same dimensions as the predicted values themselves. This method exaggerates the prediction error - the difference between prediction value and actual value of a test case - of test cases in which the prediction error is larger than the others. If this number is significantly greater than the mean absolute error, it means that there are test cases in which the prediction error is significantly greater than the average prediction error.

Version:

$Id: RootMeanSquaredError.java,v 2.3 2006/03/21 15:35:51 ingomierswa Exp $

Author:

Ingo Mierswa, Simon Fischer

Constructor Summary

RootMeanSquaredError()

Method Summary

double	countExample(double label, double predictedLabel) Calculates the error for the current example.
java.lang.String	getDescription() Returns a description of the performance criterion.
java.lang.String	getName() Returns the name of this averagable.
double	transform(double value) Applies a square root to the given value.

Methods inherited from class edu.udo.cs.yale.operator.performance.SimpleCriterion

buildSingleAverage, cloneAveragable, countExample, countExample, getExampleCount, getFitness, getMikroAverage, getMikroVariance, readCriterionData, startCounting, writeCriterionData

Methods inherited from class edu.udo.cs.yale.operator.performance.PerformanceCriterion

compareTo, getMaxFitness, readPerformanceCriterion, writePerformanceCriterion

Methods inherited from class edu.udo.cs.yale.tools.math.Averagable

buildAverage, clone, formatDeviation, formatPercent, formatValue, getAverage, getMakroAverage, getMakroStandardDeviation, getMakroVariance, getMikroStandardDeviation, getStandardDeviation, getVariance, toHTML, toString

Methods inherited from class edu.udo.cs.yale.operator.ResultObjectAdapter

addAction, getActions, getVisualisationComponent, toHTML, toResultString

Methods inherited from class edu.udo.cs.yale.operator.AbstractIOObject

copy, read, read, read, write, write

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.udo.cs.yale.operator.IOObject

copy, write, write

Constructor Detail

RootMeanSquaredError

public RootMeanSquaredError()

Method Detail

getName

public java.lang.String getName()

Description copied from class: Averagable

Returns the name of this averagable.

Specified by:

getName in interface ResultObject

Specified by:

getName in class Averagable

countExample

public double countExample(double label,
                           double predictedLabel)

Calculates the error for the current example.

Specified by:

countExample in class SimpleCriterion

transform

public double transform(double value)

Applies a square root to the given value.

Overrides:

transform in class SimpleCriterion

getDescription

public java.lang.String getDescription()

Description copied from class: MeasuredPerformance

Returns a description of the performance criterion.

Specified by:

getDescription in class MeasuredPerformance