com.imsl.datamining.decisionTree

Class DecisionTreeInfoGain.GainCriteria

java.lang.Object

java.lang.Enum

com.imsl.datamining.decisionTree.DecisionTreeInfoGain.GainCriteria

All Implemented Interfaces:

Serializable, Comparable

Enclosing class:

DecisionTreeInfoGain

public static final class DecisionTreeInfoGain.GainCriteria
extends Enum

Specifies which information gain criteria to use in determining the best split at each node.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static DecisionTreeInfoGain.GainCriteria	DEVIANCE A measure of the quality of fit.
static DecisionTreeInfoGain.GainCriteria	GINI_INDEX A measure of statistical dispersion.
static DecisionTreeInfoGain.GainCriteria	SHANNON_ENTROPY A measure of randomness or uncertainty.

Method Summary

Methods

Modifier and Type	Method and Description
static DecisionTreeInfoGain.GainCriteria	valueOf(String name)
static DecisionTreeInfoGain.GainCriteria[]	values()

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Field Detail

DEVIANCE

public static final DecisionTreeInfoGain.GainCriteria DEVIANCE

A measure of the quality of fit.

For a categorical variable having distinct values over a data set , the Deviance measure is

where

and

is the number of cases with on the node.

GINI_INDEX

public static final DecisionTreeInfoGain.GainCriteria GINI_INDEX

A measure of statistical dispersion.

For a categorical variable having distinct values over a data set , the Gini index is defined as

where denotes the probability that the variable is equal to the state on the data set, .

SHANNON_ENTROPY

public static final DecisionTreeInfoGain.GainCriteria SHANNON_ENTROPY

A measure of randomness or uncertainty.

For a categorical variable having distinct values over a data set , the Shannon Entropy is defined as

where

and where

if .

Method Detail

valueOf

public static DecisionTreeInfoGain.GainCriteria valueOf(String name)

values

public static DecisionTreeInfoGain.GainCriteria[] values()