org.strbio.math
Class SimMatrix

java.lang.Object
  org.strbio.math.IMatrix
      org.strbio.math.StatsMatrix
          org.strbio.math.SimMatrix

public class SimMatrix
extends StatsMatrix

This is a NxN matrix, where data[i][j] indicates the number of times something was actually i, but predicted to be j.

Version:

1.0

Author:

JMC

Field Summary

Fields inherited from class org.strbio.math.IMatrix

data

Constructor Summary

SimMatrix()

SimMatrix(IMatrix x)

SimMatrix(int n)

SimMatrix(int[][] x)

Method Summary

void	addPrediction(int actually, int predicted) Add a prediction, which was actually category a, but predicted to be in category b.
double	matthews(int a) Return the Matthews correlation coefficient for category A.
double	pctRight() return percent right, from 0 to 100.
double	pctRightActually(int a) Return the percent right only for predictions of items which actually belonged to category A.
double	pctRightPred(int a) Return the percent right only for predictions of items which were predicted to be in category A.
int	rightActually(int a) How many of the items that actually belonged to category A were predicted correctly?
int	rightPred(int a) How many of the items predicted to be in category A were predicted correctly?
int	totalActually(int a) How many items are there in category A?
int	totalPred(int a) How many items predicted to be in category A?
int	wrongActually(int a) How many of the items that actually belonged to category A were predicted incorrectly?
int	wrongPred(int a) How many of the items predicted to be in category A were predicted incorrectly?

Methods inherited from class org.strbio.math.StatsMatrix

clear

Methods inherited from class org.strbio.math.IMatrix

add, add, cols, equals, isEmpty, load, load, load, max, min, multiply, multiply, multiply, print, rows, save, save, saveBinary, saveBinary, setValue, setValueAt, subtract, subtract, valueAt

Methods inherited from class java.lang.Object

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

Constructor Detail

SimMatrix

public SimMatrix()

SimMatrix

public SimMatrix(int n)

SimMatrix

public SimMatrix(IMatrix x)

SimMatrix

public SimMatrix(int[][] x)

Method Detail

pctRight

public final double pctRight()

return percent right, from 0 to 100.

Specified by:

pctRight in class StatsMatrix

matthews

public final double matthews(int a)

Return the Matthews correlation coefficient for category A.

Specified by:

matthews in class StatsMatrix

pctRightActually

public final double pctRightActually(int a)

Return the percent right only for predictions of items which actually belonged to category A.

Specified by:

pctRightActually in class StatsMatrix

rightActually

public final int rightActually(int a)

How many of the items that actually belonged to category A were predicted correctly?

Specified by:

rightActually in class StatsMatrix

wrongActually

public final int wrongActually(int a)

How many of the items that actually belonged to category A were predicted incorrectly?

Specified by:

wrongActually in class StatsMatrix

totalActually

public final int totalActually(int a)

How many items are there in category A?

Specified by:

totalActually in class StatsMatrix

addPrediction

public final void addPrediction(int actually,
                                int predicted)

Add a prediction, which was actually category a, but predicted to be in category b.

pctRightPred

public final double pctRightPred(int a)

Return the percent right only for predictions of items which were predicted to be in category A.

rightPred

public final int rightPred(int a)

How many of the items predicted to be in category A were predicted correctly?

wrongPred

public final int wrongPred(int a)

How many of the items predicted to be in category A were predicted incorrectly?

totalPred

public final int totalPred(int a)

How many items predicted to be in category A?