package-summary.html

数据挖掘方面最新软件

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<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/NormalizedAbsoluteError.html" title="class in com.rapidminer.operator.performance">NormalizedAbsoluteError</A></B></TD>
<TD>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 WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PerformanceCriterion.html" title="class in com.rapidminer.operator.performance">PerformanceCriterion</A></B></TD>
<TD>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>
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<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">PerformanceEvaluator</A></B></TD>
<TD>A performance evaluator is an operator that expects a test <A HREF="../../../../com/rapidminer/example/ExampleSet.html" title="interface in com.rapidminer.example"><CODE>ExampleSet</CODE></A>
 as input, whose elements have both true and predicted labels, and delivers as
 output a list of performance values according to a list of performance
 criteria that it calculates.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PerformanceVector.html" title="class in com.rapidminer.operator.performance">PerformanceVector</A></B></TD>
<TD>Handles several performance criteria.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PerformanceVector.DefaultComparator.html" title="class in com.rapidminer.operator.performance">PerformanceVector.DefaultComparator</A></B></TD>
<TD>The default performance comparator compares the main criterion of two
 performance vectors.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PolynominalClassificationPerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">PolynominalClassificationPerformanceEvaluator</A></B></TD>
<TD>This performance evaluator operator should be used for classification tasks, 
 i.e. in cases where the label attribute has a (poly-)nominal value type.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PredictionAverage.html" title="class in com.rapidminer.operator.performance">PredictionAverage</A></B></TD>
<TD>Returns the average value of the prediction.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/PredictionTrendAccuracy.html" title="class in com.rapidminer.operator.performance">PredictionTrendAccuracy</A></B></TD>
<TD>Measures the number of times a regression prediction correctly determines the trend.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/RankCorrelation.html" title="class in com.rapidminer.operator.performance">RankCorrelation</A></B></TD>
<TD>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 WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/RankStatistics.html" title="class in com.rapidminer.operator.performance">RankStatistics</A></B></TD>
<TD>Provides methods to compute ranks for a single attribute and
 rank correlations for two attributes.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/RegressionPerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">RegressionPerformanceEvaluator</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/RelativeError.html" title="class in com.rapidminer.operator.performance">RelativeError</A></B></TD>
<TD>The average relative error: <i>Sum(|label-predicted|/label)/#examples</i>.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/RootMeanSquaredError.html" title="class in com.rapidminer.operator.performance">RootMeanSquaredError</A></B></TD>
<TD>The root-mean-squared error.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/RootRelativeSquaredError.html" title="class in com.rapidminer.operator.performance">RootRelativeSquaredError</A></B></TD>
<TD>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 WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SimpleClassificationError.html" title="class in com.rapidminer.operator.performance">SimpleClassificationError</A></B></TD>
<TD>This class calculates the classification error without determining the complete
 contingency table.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SimpleCriterion.html" title="class in com.rapidminer.operator.performance">SimpleCriterion</A></B></TD>
<TD>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 WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SimplePerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">SimplePerformanceEvaluator</A></B></TD>
<TD>In contrast to the other performance evaluation methods, this performance 
 evaluator operator can be used for all types of learning tasks.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SoftMarginLoss.html" title="class in com.rapidminer.operator.performance">SoftMarginLoss</A></B></TD>
<TD>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 WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SquaredCorrelationCriterion.html" title="class in com.rapidminer.operator.performance">SquaredCorrelationCriterion</A></B></TD>
<TD>Computes the square of the empirical corellation coefficient 'r' between
 label and prediction.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/SquaredError.html" title="class in com.rapidminer.operator.performance">SquaredError</A></B></TD>
<TD>The squared error.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/UserBasedPerformanceEvaluator.html" title="class in com.rapidminer.operator.performance">UserBasedPerformanceEvaluator</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/WeightedMultiClassPerformance.html" title="class in com.rapidminer.operator.performance">WeightedMultiClassPerformance</A></B></TD>
<TD>Measures the weighted mean of all per class recalls or per class precisions based
 on the weights defined in the performance evaluator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../com/rapidminer/operator/performance/WeightedPerformanceCreator.html" title="class in com.rapidminer.operator.performance">WeightedPerformanceCreator</A></B></TD>
<TD>Returns a performance vector containing the weighted fitness value of the
 input criteria.</TD>
</TR>
</TABLE>
&nbsp;

<P>
<A NAME="package_description"><!-- --></A><H2>
Package com.rapidminer.operator.performance Description
</H2>

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Provides performance evaluating operators and performance criteria.
<P>

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