📄 averagable.html
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</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><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/performance/PerformanceCriterion.html" title="class in com.rapidminer.operator.performance">PerformanceCriterion</A></B></CODE><BR> Each <tt>PerformanceCriterion</tt> contains a method to compute this criterion on a given set of examples, each which has to have a real and a predicted 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/PredictionAverage.html" title="class in com.rapidminer.operator.performance">PredictionAverage</A></B></CODE><BR> Returns the average value of the 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/PredictionTrendAccuracy.html" title="class in com.rapidminer.operator.performance">PredictionTrendAccuracy</A></B></CODE><BR> Measures the number of times a regression prediction correctly determines the trend.</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/RankCorrelation.html" title="class in com.rapidminer.operator.performance">RankCorrelation</A></B></CODE><BR> Computes either the Spearman (rho) or Kendall (tau-b) rank correlation between the actual label and predicted values of an example set.</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/RelativeError.html" title="class in com.rapidminer.operator.performance">RelativeError</A></B></CODE><BR> The average relative error: <i>Sum(|label-predicted|/label)/#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/RootMeanSquaredError.html" title="class in com.rapidminer.operator.performance">RootMeanSquaredError</A></B></CODE><BR> The root-mean-squared error.</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/RootRelativeSquaredError.html" title="class in com.rapidminer.operator.performance">RootRelativeSquaredError</A></B></CODE><BR> Relative squared error is the total squared error made relative to what the error would have been if the prediction had been the average of the absolute value.</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/SimpleClassificationError.html" title="class in com.rapidminer.operator.performance">SimpleClassificationError</A></B></CODE><BR> This class calculates the classification error without determining the complete contingency table.</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/SimpleCriterion.html" title="class in com.rapidminer.operator.performance">SimpleCriterion</A></B></CODE><BR> Simple criteria are those which error can be counted for each example and can be averaged by the number of examples.</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/SoftMarginLoss.html" title="class in com.rapidminer.operator.performance">SoftMarginLoss</A></B></CODE><BR> The soft margin loss of a classifier, defined as the average over all 1 - 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/SquaredCorrelationCriterion.html" title="class in com.rapidminer.operator.performance">SquaredCorrelationCriterion</A></B></CODE><BR> Computes the square of the empirical corellation 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/SquaredError.html" title="class in com.rapidminer.operator.performance">SquaredError</A></B></CODE><BR> The squared error.</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/WeightedMultiClassPerformance.html" title="class in com.rapidminer.operator.performance">WeightedMultiClassPerformance</A></B></CODE><BR> Measures the weighted mean of all per class recalls or per class precisions based on the weights defined in the performance evaluator.</TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Methods in <A HREF="../../../../../com/rapidminer/operator/performance/package-summary.html">com.rapidminer.operator.performance</A> with parameters of type <A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B>RootRelativeSquaredError.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/RootRelativeSquaredError.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>WeightedMultiClassPerformance.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/WeightedMultiClassPerformance.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>PredictionAverage.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/PredictionAverage.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>CrossEntropy.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/CrossEntropy.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>protected void</CODE></FONT></TD><TD><CODE><B>RankCorrelation.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/RankCorrelation.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> averagable)</CODE><BR> Averaging across instances of RankCorrelation is unsupported (?)</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>SimpleCriterion.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/SimpleCriterion.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>LogisticLoss.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/LogisticLoss.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>SoftMarginLoss.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/SoftMarginLoss.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>AreaUnderCurve.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/AreaUnderCurve.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>MinMaxCriterion.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/MinMaxCriterion.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> avg)</CODE><BR> </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>NormalizedAbsoluteError.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/NormalizedAbsoluteError.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </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>MultiClassificationPerformance.</B><B><A HREF="../../../../../com/rapidminer/operator/performance/MultiClassificationPerformance.html#buildSingleAverage(com.rapidminer.tools.math.Averagable)">buildSingleAverage</A></B>(<A HREF="../../../../../com/rapidminer/tools/math/Averagable.html" title="class in com.rapidminer.tools.math">Averagable</A> performance)</CODE><BR> </TD></TR>⌨️ 快捷键说明
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