com.rapidminer.operator.learner.meta
Class ContingencyMatrix

java.lang.Object
  com.rapidminer.operator.learner.meta.ContingencyMatrix

All Implemented Interfaces:

java.io.Serializable

public class ContingencyMatrix
extends java.lang.Object
implements java.io.Serializable

This class computes the contingency matrix of classifiers, supports weighted example sets and contains some convenience methods to query for some evaluation metrics that can directly be computed from this matrix.

Author:

Martin Scholz Exp $

See Also:

Serialized Form

Constructor Summary

ContingencyMatrix(double[][] contigencyMatrix)
The contigency matrix in the format [true label][predicted label]

Method Summary

ContingencyMatrix	clone()
double	getAccuracy()
double	getCoverage(int predictedLabel)
double	getErrorRate()
double	getLift(int trueLabel, int predictedLabel)
double	getLiftRatio(int trueLabel, int predictedLabel)
double[]	getLiftRatiosForPrediction(int predictedLabel)
double[][]	getMatrix()
int	getNumberOfClasses()
int	getNumberOfPredictions()
double	getPrecision(int trueLabel, int predictedLabel)
double	getPrior(int trueLabel)
double[]	getPriors()
double	getProbability(int trueLabel, int predictedLabel)
double	getTotalWeight()

Methods inherited from class java.lang.Object

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

Constructor Detail

ContingencyMatrix

public ContingencyMatrix(double[][] contigencyMatrix)

The contigency matrix in the format [true label][predicted label]

Parameters:

contigencyMatrix -

Method Detail

getMatrix

public double[][] getMatrix()

getNumberOfClasses

public int getNumberOfClasses()

getNumberOfPredictions

public int getNumberOfPredictions()

getPriors

public double[] getPriors()

getPrior

public double getPrior(int trueLabel)

getCoverage

public double getCoverage(int predictedLabel)

getProbability

public double getProbability(int trueLabel,
                             int predictedLabel)

getPrecision

public double getPrecision(int trueLabel,
                           int predictedLabel)

getLift

public double getLift(int trueLabel,
                      int predictedLabel)

getLiftRatio

public double getLiftRatio(int trueLabel,
                           int predictedLabel)

getLiftRatiosForPrediction

public double[] getLiftRatiosForPrediction(int predictedLabel)

getAccuracy

public double getAccuracy()

getErrorRate

public double getErrorRate()

getTotalWeight

public double getTotalWeight()

clone

public ContingencyMatrix clone()

Overrides:

clone in class java.lang.Object