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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.4.2_05) on Mon Mar 07 15:27:13 NZDT 2005 --><TITLE>BVDecomposeSegCVSub</TITLE><META NAME="keywords" CONTENT="weka.classifiers.BVDecomposeSegCVSub class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="BVDecomposeSegCVSub";}</SCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=3 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../Tutorial.pdf"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/index.html"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../weka/classifiers/BVDecompose.html" title="class in weka.classifiers"><B>PREV CLASS</B></A> <A HREF="../../weka/classifiers/CheckClassifier.html" title="class in weka.classifiers"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../index.html" target="_top"><B>FRAMES</B></A> <A HREF="BVDecomposeSegCVSub.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers</FONT><BR>Class BVDecomposeSegCVSub</H2><PRE>java.lang.Object <IMG SRC="../../resources/inherit.gif" ALT="extended by"><B>weka.classifiers.BVDecomposeSegCVSub</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></DD></DL><HR><DL><DT>public class <B>BVDecomposeSegCVSub</B><DT>extends java.lang.Object<DT>implements <A HREF="../../weka/core/OptionHandler.html" title="interface in weka.core">OptionHandler</A></DL><P>This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in:<p> Geoffrey I. Webb & Paul Conilione (2002), <i> Estimating bias and variance from data </i>, School of Computer Science and Software Engineering, Monash University, Australia <p> The Kohavi and Wolpert definition of bias and variance is specified in:<p> R. Kohavi & D. Wolpert (1996), <i>Bias plus variance decomposition for zero-one loss functions</i>, in Proc. of the Thirteenth International Machine Learning Conference (ICML96) <a href="http://robotics.stanford.edu/~ronnyk/biasVar.ps"> download postscript</a>.<p> The Webb definition of bias and variance is specified in:<p> Geoffrey I. Webb (2000), <i> MultiBoosting: A Technique for Combining Boosting and Wagging</i>, Machine Learning, 40(2), pages 159-196<p> Valid options are:<p> -c num <br> Specify the index of the class attribute (default last).<p> -D <br> Turn on debugging output.<p> -l num <br> Set the number times each instance is to be classified (default 10). <p> -p num <br> Set the proportion of instances that are the same between any two training sets. Training set size/(Dataset size - 1) < num < 1.0 (Default is Training set size/(Dataset size - 1) ) <p> -s num <br> Set the seed for the dataset randomisation (default 1). <p> -t filename <br> Set the arff file to use for the decomposition (required).<p> -T num <br> Set the size of the training sets. Must be greater than 0 and less size of the dataset. (default half of dataset size) <p> -W classname <br> Specify the full class name of a learner to perform the decomposition on (required).<p> Options after -- are passed to the designated sub-learner. <p><P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.2.2.1 $</DD><DT><B>Author:</B></DT> <DD>Paul Conilione (paulc4321@yahoo.com.au)</DD></DL><HR><P><!-- ======== NESTED CLASS SUMMARY ======== --><!-- =========== FIELD SUMMARY =========== --><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#BVDecomposeSegCVSub()">BVDecomposeSegCVSub</A></B>()</CODE><BR> </TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Method Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#decompose()">decompose</A></B>()</CODE><BR> Carry out the bias-variance decomposition using the sub-sampled cross-validation method.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Vector</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#findCentralTendencies(double[])">findCentralTendencies</A></B>(double[] predProbs)</CODE><BR> Finds the central tendency, given the classifications for an instance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getClassifier()">getClassifier</A></B>()</CODE><BR> Gets the name of the classifier being analysed</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getClassifyIterations()">getClassifyIterations</A></B>()</CODE><BR> Gets the number of times an instance is classified</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getClassIndex()">getClassIndex</A></B>()</CODE><BR> Get the index (starting from 1) of the attribute used as the class.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getDataFileName()">getDataFileName</A></B>()</CODE><BR> Get the name of the data file used for the decomposition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> boolean</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getDebug()">getDebug</A></B>()</CODE><BR> Gets whether debugging is turned on</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getError()">getError</A></B>()</CODE><BR> Get the calculated error rate</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getKWBias()">getKWBias</A></B>()</CODE><BR> Get the calculated bias squared according to the Kohavi and Wolpert definition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getKWSigma()">getKWSigma</A></B>()</CODE><BR> Get the calculated sigma according to the Kohavi and Wolpert definition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getKWVariance()">getKWVariance</A></B>()</CODE><BR> Get the calculated variance according to the Kohavi and Wolpert definition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String[]</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getOptions()">getOptions</A></B>()</CODE><BR> Gets the current settings of the CheckClassifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getP()">getP</A></B>()</CODE><BR> Get the proportion of instances that are common between two training sets.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getSeed()">getSeed</A></B>()</CODE><BR> Gets the random number seed</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> int</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getTrainSize()">getTrainSize</A></B>()</CODE><BR> Get the training size</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getWBias()">getWBias</A></B>()</CODE><BR> Get the calculated bias according to the Webb definition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#getWVariance()">getWVariance</A></B>()</CODE><BR> Get the calculated variance according to the Webb definition</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.util.Enumeration</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#listOptions()">listOptions</A></B>()</CODE><BR> Returns an enumeration describing the available options.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> Test method for this class</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../weka/classifiers/BVDecomposeSegCVSub.html#randomize(int[], java.util.Random)">randomize</A></B>(int[] index, java.util.Random random)</CODE><BR> Accepts an array of ints and randomises the values in the array, using the random seed.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">⌨️ 快捷键说明
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