mark.nlp.classifiers
Class Util

java.lang.Object
  |
  +--mark.nlp.classifiers.Util

public class Util

extends java.lang.Object

A collection of utility routines for instance vectors.

Constructor Summary

Util()

Method Summary

static double	correctPercentage(Table confusions) Given a confusion matrix, generates a percentage correct score.
static double	incorrectPercentage(Table confusions) Given a confusion matrix, generates a percentage incorrect score.
static int	numCorrect(Table confusions) Given a confusion matrix, returns the number of correct predictions.
static int	numIncorrect(Table confusions) Given a confusion matrix, returns the number of incorrect predictions.

Methods inherited from class java.lang.Object

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

Constructor Detail

Util

public Util()

Method Detail

numCorrect

public static int numCorrect(Table confusions)

Given a confusion matrix, returns the number of correct predictions.

Parameters:

confusions - the confusion matrix.

Returns:

the number of correct predictions.

numIncorrect

public static int numIncorrect(Table confusions)

Given a confusion matrix, returns the number of incorrect predictions.

Parameters:

confusions - the confusion matrix.

Returns:

the number of incorrect predictions.

correctPercentage

public static double correctPercentage(Table confusions)

Given a confusion matrix, generates a percentage correct score.

Parameters:

confusions - the confusion matrix.

Returns:

the percentage correct.

incorrectPercentage

public static double incorrectPercentage(Table confusions)

Given a confusion matrix, generates a percentage incorrect score.

Parameters:

confusions - the confusion matrix.

Returns:

the percentage correct.