classificationbyregression.html
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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 1.5.0_13) on Mon Jul 14 01:36:33 CEST 2008 --><TITLE>ClassificationByRegression (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.learner.meta.ClassificationByRegression class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="ClassificationByRegression (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></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=2 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="class-use/ClassificationByRegression.html"><FONT CLASS="NavBarFont1"><B>Use</B></FONT></A> </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="../../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</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="../../../../../com/rapidminer/operator/learner/meta/Binary2MultiClassModel.html" title="class in com.rapidminer.operator.learner.meta"><B>PREV CLASS</B></A> <A HREF="../../../../../com/rapidminer/operator/learner/meta/ContingencyMatrix.html" title="class in com.rapidminer.operator.learner.meta"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../../../index.html?com/rapidminer/operator/learner/meta/ClassificationByRegression.html" target="_top"><B>FRAMES</B></A> <A HREF="ClassificationByRegression.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">com.rapidminer.operator.learner.meta</FONT><BR>Class ClassificationByRegression</H2><PRE>java.lang.Object <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/rapidminer/operator/Operator.html" title="class in com.rapidminer.operator">com.rapidminer.operator.Operator</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/rapidminer/operator/OperatorChain.html" title="class in com.rapidminer.operator">com.rapidminer.operator.OperatorChain</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/rapidminer/operator/learner/meta/AbstractMetaLearner.html" title="class in com.rapidminer.operator.learner.meta">com.rapidminer.operator.learner.meta.AbstractMetaLearner</A> <IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><B>com.rapidminer.operator.learner.meta.ClassificationByRegression</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../../../com/rapidminer/gui/wizards/ConfigurationListener.html" title="interface in com.rapidminer.gui.wizards">ConfigurationListener</A>, <A HREF="../../../../../com/rapidminer/gui/wizards/PreviewListener.html" title="interface in com.rapidminer.gui.wizards">PreviewListener</A>, <A HREF="../../../../../com/rapidminer/operator/learner/Learner.html" title="interface in com.rapidminer.operator.learner">Learner</A>, <A HREF="../../../../../com/rapidminer/parameter/ParameterHandler.html" title="interface in com.rapidminer.parameter">ParameterHandler</A>, <A HREF="../../../../../com/rapidminer/tools/LoggingHandler.html" title="interface in com.rapidminer.tools">LoggingHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>ClassificationByRegression</B><DT>extends <A HREF="../../../../../com/rapidminer/operator/learner/meta/AbstractMetaLearner.html" title="class in com.rapidminer.operator.learner.meta">AbstractMetaLearner</A></DL></PRE><P>For a classified dataset (with possibly more than two classes) builds a classifier using a regression method which is specified by the inner operator. For each class <i>i</i> a regression model is trained after setting the label to <i>+1</i> if the label equals <i>i</i> and to <i>-1</i> if it is not. Then the regression models are combined into a classification model. In order to determine the prediction for an unlabeled example, all models are applied and the class belonging to the regression model which predicts the greatest value is chosen.<P>⌨️ 快捷键说明
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