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NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><CENTER><H2><B>Uses of Class<br>com.rapidminer.operator.performance.MeasuredPerformance</B></H2></CENTER><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Packages that use <A HREF="../../../../../com/rapidminer/operator/performance/MeasuredPerformance.html" title="class in com.rapidminer.operator.performance">MeasuredPerformance</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.performance"><B>com.rapidminer.operator.performance</B></A></TD><TD>Provides performance evaluating operators and performance criteria. </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><A HREF="#com.rapidminer.operator.performance.cost"><B>com.rapidminer.operator.performance.cost</B></A></TD><TD>This package contains cost-based performance evaluations. </TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.performance"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../com/rapidminer/operator/performance/MeasuredPerformance.html" title="class in com.rapidminer.operator.performance">MeasuredPerformance</A> in <A HREF="../../../../../com/rapidminer/operator/performance/package-summary.html">com.rapidminer.operator.performance</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../com/rapidminer/operator/performance/MeasuredPerformance.html" title="class in com.rapidminer.operator.performance">MeasuredPerformance</A> in <A HREF="../../../../../com/rapidminer/operator/performance/package-summary.html">com.rapidminer.operator.performance</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/AbsoluteError.html" title="class in com.rapidminer.operator.performance">AbsoluteError</A></B></CODE><BR> The absolute error: <i>Sum(|label-predicted|)/#examples</i>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/AreaUnderCurve.html" title="class in com.rapidminer.operator.performance">AreaUnderCurve</A></B></CODE><BR> This criterion calculates the area under the ROC curve.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/BinaryClassificationPerformance.html" title="class in com.rapidminer.operator.performance">BinaryClassificationPerformance</A></B></CODE><BR> This class encapsulates the well known binary classification criteria precision and recall.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/CorrelationCriterion.html" title="class in com.rapidminer.operator.performance">CorrelationCriterion</A></B></CODE><BR> Computes the empirical corelation coefficient 'r' between label and prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/CrossEntropy.html" title="class in com.rapidminer.operator.performance">CrossEntropy</A></B></CODE><BR> Calculates the cross-entropy for the predictions of a classifier.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/LogisticLoss.html" title="class in com.rapidminer.operator.performance">LogisticLoss</A></B></CODE><BR> 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 ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/Margin.html" title="class in com.rapidminer.operator.performance">Margin</A></B></CODE><BR> The margin of a classifier, defined as the minimal confidence for the correct label.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/MDLCriterion.html" title="class in com.rapidminer.operator.performance">MDLCriterion</A></B></CODE><BR> Measures the length of an example set (i.e. the number of attributes).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/MinMaxCriterion.html" title="class in com.rapidminer.operator.performance">MinMaxCriterion</A></B></CODE><BR> 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 ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/MultiClassificationPerformance.html" title="class in com.rapidminer.operator.performance">MultiClassificationPerformance</A></B></CODE><BR> Measures the accuracy and classification error for both binary classification problems and multi class problems.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/NormalizedAbsoluteError.html" title="class in com.rapidminer.operator.performance">NormalizedAbsoluteError</A></B></CODE><BR> Normalized absolute error is the total absolute error normalized by the error simply predicting the average of the actual values.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD>⌨️ 快捷键说明
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