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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 01:36:54 CEST 2008 --><TITLE>com.rapidminer.operator.performance (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.performance package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){    parent.document.title="com.rapidminer.operator.performance (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>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <FONT CLASS="NavBarFont1">Class</FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-use.html"><FONT CLASS="NavBarFont1"><B>Use</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A>&nbsp;</TD>  </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">&nbsp;<A HREF="../../../../com/rapidminer/operator/olap/aggregation/package-summary.html"><B>PREV PACKAGE</B></A>&nbsp;&nbsp;<A HREF="../../../../com/rapidminer/operator/performance/cost/package-summary.html"><B>NEXT PACKAGE</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">  <A HREF="../../../../index.html?com/rapidminer/operator/performance/package-summary.html" target="_top"><B>FRAMES</B></A>  &nbsp;&nbsp;<A HREF="package-summary.html" target="_top"><B>NO FRAMES</B></A>  &nbsp;&nbsp;<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></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package com.rapidminer.operator.performance</H2>Provides performance evaluating operators and performance criteria.<P><B>See:</B><BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<A HREF="#package_description"><B>Description</B></A><P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Interface Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/ClassWeightedPerformance.html" title="interface in com.rapidminer.operator.performance">ClassWeightedPerformance</A></B></TD><TD>Performance criteria implementing this interface are able to calculate a performance measurement based on given class weights.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PerformanceComparator.html" title="interface in com.rapidminer.operator.performance">PerformanceComparator</A></B></TD><TD>Compares two <A HREF="../../../../com/rapidminer/operator/performance/PerformanceVector.html" title="class in com.rapidminer.operator.performance"><CODE>PerformanceVector</CODE></A>s.</TD></TR></TABLE>&nbsp;<P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/AbsoluteError.html" title="class in com.rapidminer.operator.performance">AbsoluteError</A></B></TD><TD>The absolute error: <i>Sum(|label-predicted|)/#examples</i>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/AbstractPerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">AbstractPerformanceEvaluator</A></B></TD><TD>This performance evaluator operator should be used for regression tasks,  i.e. in cases where the label attribute has a numerical value type.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/AreaUnderCurve.html" title="class in com.rapidminer.operator.performance">AreaUnderCurve</A></B></TD><TD>This criterion calculates the area under the ROC curve.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/AttributeCounter.html" title="class in com.rapidminer.operator.performance">AttributeCounter</A></B></TD><TD>Returns a performance vector just counting the number of attributes currently used for the given example set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/BinaryClassificationPerformance.html" title="class in com.rapidminer.operator.performance">BinaryClassificationPerformance</A></B></TD><TD>This class encapsulates the well known binary classification criteria precision and recall.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/BinominalClassificationPerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">BinominalClassificationPerformanceEvaluator</A></B></TD><TD>This performance evaluator operator should be used for classification tasks,  i.e. in cases where the label attribute has a binominal value type.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/CorrelationCriterion.html" title="class in com.rapidminer.operator.performance">CorrelationCriterion</A></B></TD><TD>Computes the empirical corelation coefficient 'r' between label and prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/CrossEntropy.html" title="class in com.rapidminer.operator.performance">CrossEntropy</A></B></TD><TD>Calculates the cross-entropy for the predictions of a classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/EstimatedPerformance.html" title="class in com.rapidminer.operator.performance">EstimatedPerformance</A></B></TD><TD>This class is used to store estimated performance values <em>before</em> or even <em>without</em> the performance test is actually done using a test set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/LogisticLoss.html" title="class in com.rapidminer.operator.performance">LogisticLoss</A></B></TD><TD>The logistic loss of a classifier, defined as  the average over all ln(1 + exp(-y * f(x)))</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/Margin.html" title="class in com.rapidminer.operator.performance">Margin</A></B></TD><TD>The margin of a classifier, defined as the minimal confidence for the correct label.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/MDLCriterion.html" title="class in com.rapidminer.operator.performance">MDLCriterion</A></B></TD><TD>Measures the length of an example set (i.e. the number of attributes).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/MeasuredPerformance.html" title="class in com.rapidminer.operator.performance">MeasuredPerformance</A></B></TD><TD>Superclass for performance citeria that are actually measured (not estimated).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/MinMaxCriterion.html" title="class in com.rapidminer.operator.performance">MinMaxCriterion</A></B></TD><TD>This criterion should be used as wrapper around other performance criteria (see <A HREF="../../../../com/rapidminer/operator/performance/MinMaxWrapper.html" title="class in com.rapidminer.operator.performance"><CODE>MinMaxWrapper</CODE></A>).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/MinMaxWrapper.html" title="class in com.rapidminer.operator.performance">MinMaxWrapper</A></B></TD><TD>Wraps a <A HREF="../../../../com/rapidminer/operator/performance/MinMaxCriterion.html" title="class in com.rapidminer.operator.performance"><CODE>MinMaxCriterion</CODE></A> around each performance criterion of type MeasuredPerformance.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/MultiClassificationPerformance.html" title="class in com.rapidminer.operator.performance">MultiClassificationPerformance</A></B></TD><TD>Measures the accuracy and classification error for both binary classification problems and multi class problems.</TD></TR>

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