keel.Algorithms.Decision_Trees.M5

Class Measures

java.lang.Object

keel.Algorithms.Decision_Trees.M5.Measures

public final class Measures
extends java.lang.Object

Class for performance measures

Constructor Summary

Constructors

Constructor and Description
Measures() Constructs a Measures object which could containing the performance measures

Method Summary

Modifier and Type	Method and Description
void	incremental(Measures m) Adds up performance measures for cross-validation
java.lang.String	toString(double absDev, double sd, java.lang.String set, java.lang.String smooth) Converts the performance measures to a string

Methods inherited from class java.lang.Object

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

Constructor Detail

Measures

public Measures()

Constructs a Measures object which could containing the performance measures

Method Detail

toString

public final java.lang.String toString(double absDev,
                                       double sd,
                                       java.lang.String set,
                                       java.lang.String smooth)

Converts the performance measures to a string

Parameters:

absDev - the absolute deviation of the class attribute

sd - the standard deviation of the class attribute the type of the performance measures, is one of "t","T","f","F","x", for training, test, training of one fold in cross-validation, test of one test in cross-validation, cross-validation final resuls respectively

set - set name.

smooth - either "u" or "s" for unsmoothed or smoothed

Returns:

the converted string

incremental

public final void incremental(Measures m)

Adds up performance measures for cross-validation

Parameters:

m - performance measures of a fold