Package unifeat.result.performanceMeasure

Class PerformanceMeasures

java.lang.Object

unifeat.result.performanceMeasure.PerformanceMeasures

public class PerformanceMeasures
extends Object

This java class is used to save all performance measure values obtained from different runs of given feature selection method.

Author:

Sina Tabakhi

See Also:

• Criteria

Field Summary

Fields

Modifier and Type	Field	Description
private Criteria[]	averageValues
private Criteria[][]	measures

Constructor Summary

Constructors

Constructor	Description
PerformanceMeasures(int numRuns, int numSelectedSubsets)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
void	computeAverageValues()	Computes the average values of all criteria over number of runs
double[][]	getAccuracyValues()	Returns the accuracy values of the feature selection method
double[][]	getAverageAccuracyValues()	Returns the average values of the accuracy of the feature selection method over number of runs
double[][]	getAverageErrorRateValues()	Returns the average values of the error rate of the feature selection method over number of runs
double[][]	getAverageTimeValues()	Returns the average values of the execution time of the feature selection method over number of runs
double[][]	getErrorRateValues()	Returns the error rate values of the feature selection method
double[][]	getTimeValues()	Returns the execution time values of the feature selection method
void	setCriteria(int i, int j, Criteria criteria)	Sets the obtained criteria values from feature selection method

Methods inherited from class java.lang.Object

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

Field Details

measures

private Criteria[][] measures

averageValues

private Criteria[] averageValues

Constructor Details

PerformanceMeasures

public PerformanceMeasures(int numRuns,
 int numSelectedSubsets)

Initializes the parameters

Parameters:

numRuns - numbers of runs of the feature selection method

numSelectedSubsets - numbers of selected feature subsets

Method Details

setCriteria

public void setCriteria(int i,
 int j,
 Criteria criteria)

Sets the obtained criteria values from feature selection method

Parameters:

i - the current run of the feature selection method

j - the current subset of the selected features

criteria - values obtained from the feature selection method

computeAverageValues

public void computeAverageValues()

Computes the average values of all criteria over number of runs

getAccuracyValues

public double[][] getAccuracyValues()

Returns the accuracy values of the feature selection method

Returns:

an array of the accuracy values

getErrorRateValues

public double[][] getErrorRateValues()

Returns the error rate values of the feature selection method

Returns:

an array of the error rate values

getTimeValues

public double[][] getTimeValues()

Returns the execution time values of the feature selection method

Returns:

an array of the execution time values

getAverageAccuracyValues

public double[][] getAverageAccuracyValues()

Returns the average values of the accuracy of the feature selection method over number of runs

Returns:

an array of the average values of the accuracy

getAverageErrorRateValues

public double[][] getAverageErrorRateValues()

Returns the average values of the error rate of the feature selection method over number of runs

Returns:

an array of the average values of the error rate

getAverageTimeValues

public double[][] getAverageTimeValues()

Returns the average values of the execution time of the feature selection method over number of runs

Returns:

an array of the average values of the execution time