hex

Class ConfusionMatrix

java.lang.Object

water.Iced

hex.ConfusionMatrix

All Implemented Interfaces:

java.lang.Cloneable, Freezable

public class ConfusionMatrix
extends Iced

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ConfusionMatrix.ErrMetric

Field Summary

Fields

Modifier and Type	Field and Description
long[][]	_arr
double[]	_classErr
double	_predErr
static DocGen.FieldDoc[]	DOC_FIELDS

Constructor Summary

Constructors

Constructor and Description
ConfusionMatrix(int n)
ConfusionMatrix(long[][] value)

Method Summary

Methods

Modifier and Type	Method and Description
double	accuracy() The percentage of predictions that are correct.
void	add(ConfusionMatrix other)
void	add(int i, int j)
double[]	classErr()
double	classErr(int c)
ConfusionMatrix	clone()
double	err()
double	F1() Returns the F-measure which combines precision and recall.
boolean	isBinary()
double	max_per_class_error() The maximum per-class error
int	nclasses()
double	precision() The percentage of positive predictions that are correct.
double	recall() The percentage of positive labeled instances that were predicted as positive.
void	reComputeErrors()
int	size()
double	specificity() The percentage of negative labeled instances that were predicted as negative.
void	toHTML(java.lang.StringBuilder sb, java.lang.String[] domain)
com.google.gson.JsonArray	toJson()
java.lang.String	toString()
long	totalRows()

Methods inherited from class water.Iced

frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields

Methods inherited from class java.lang.Object

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

Field Detail

DOC_FIELDS

public static DocGen.FieldDoc[] DOC_FIELDS

_arr

@Request.API(help="Confusion matrix (Actual/Predicted)")
public long[][] _arr

_classErr

@Request.API(help="Prediction error by class")
public final double[] _classErr

_predErr

@Request.API(help="Prediction error")
public double _predErr

Constructor Detail

ConfusionMatrix

public ConfusionMatrix(int n)

ConfusionMatrix

public ConfusionMatrix(long[][] value)

Method Detail

clone

public ConfusionMatrix clone()

Overrides:

clone in class Iced

add

public void add(int i,
       int j)

classErr

public double[] classErr()

size

public final int size()

reComputeErrors

public void reComputeErrors()

classErr

public final double classErr(int c)

totalRows

public long totalRows()

add

public void add(ConfusionMatrix other)

err

public double err()

Returns:

overall classification error

accuracy

public double accuracy()

The percentage of predictions that are correct.

specificity

public double specificity()

The percentage of negative labeled instances that were predicted as negative.

Returns:

TNR / Specificity

recall

public double recall()

The percentage of positive labeled instances that were predicted as positive.

Returns:

Recall / TPR / Sensitivity

precision

public double precision()

The percentage of positive predictions that are correct.

Returns:

Precision

max_per_class_error

public double max_per_class_error()

The maximum per-class error

Returns:

max(classErr(i))

nclasses

public final int nclasses()

isBinary

public final boolean isBinary()

F1

public double F1()

Returns the F-measure which combines precision and recall.
C.f. end of http://en.wikipedia.org/wiki/Precision_and_recall.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

toJson

public com.google.gson.JsonArray toJson()

toHTML

public void toHTML(java.lang.StringBuilder sb,
          java.lang.String[] domain)