evaluation.html

数据挖掘的最常用工具。由于开源

<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#precision(int)">precision</A></B>(int&nbsp;classIndex)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the precision with respect to a particular class.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;<A HREF="../../weka/core/FastVector.html" title="class in weka.core">FastVector</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#predictions()">predictions</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the predictions that have been collected.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#printClassifications(weka.classifiers.Classifier, weka.core.Instances, weka.core.converters.ConverterUtils.DataSource, int, weka.core.Range, boolean, java.lang.StringBuffer)">printClassifications</A></B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;classifier,
                     <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;train,
                     <A HREF="../../weka/core/converters/ConverterUtils.DataSource.html" title="class in weka.core.converters">ConverterUtils.DataSource</A>&nbsp;testSource,
                     int&nbsp;classIndex,
                     <A HREF="../../weka/core/Range.html" title="class in weka.core">Range</A>&nbsp;attributesToOutput,
                     boolean&nbsp;printDistribution,
                     java.lang.StringBuffer&nbsp;text)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prints the predictions for the given dataset into a supplied StringBuffer</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#printClassifications(weka.classifiers.Classifier, weka.core.Instances, weka.core.converters.ConverterUtils.DataSource, int, weka.core.Range, java.lang.StringBuffer)">printClassifications</A></B>(<A HREF="../../weka/classifiers/Classifier.html" title="class in weka.classifiers">Classifier</A>&nbsp;classifier,
                     <A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;train,
                     <A HREF="../../weka/core/converters/ConverterUtils.DataSource.html" title="class in weka.core.converters">ConverterUtils.DataSource</A>&nbsp;testSource,
                     int&nbsp;classIndex,
                     <A HREF="../../weka/core/Range.html" title="class in weka.core">Range</A>&nbsp;attributesToOutput,
                     java.lang.StringBuffer&nbsp;predsText)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prints the predictions for the given dataset into a String variable.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#priorEntropy()">priorEntropy</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the entropy of the prior distribution</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#recall(int)">recall</A></B>(int&nbsp;classIndex)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the recall with respect to a particular class.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#relativeAbsoluteError()">relativeAbsoluteError</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the relative absolute error.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#rootMeanPriorSquaredError()">rootMeanPriorSquaredError</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the root mean prior squared error.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#rootMeanSquaredError()">rootMeanSquaredError</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the root mean squared error.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#rootRelativeSquaredError()">rootRelativeSquaredError</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the root relative squared error if the class is numeric.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#setPriors(weka.core.Instances)">setPriors</A></B>(<A HREF="../../weka/core/Instances.html" title="class in weka.core">Instances</A>&nbsp;train)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sets the class prior probabilities</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFEntropyGain()">SFEntropyGain</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the total SF, which is the null model entropy minus
 the scheme entropy.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFMeanEntropyGain()">SFMeanEntropyGain</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the SF per instance, which is the null model entropy
 minus the scheme entropy, per instance.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFMeanPriorEntropy()">SFMeanPriorEntropy</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the entropy per instance for the null model</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFMeanSchemeEntropy()">SFMeanSchemeEntropy</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the entropy per instance for the scheme</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFPriorEntropy()">SFPriorEntropy</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the total entropy for the null model</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#SFSchemeEntropy()">SFSchemeEntropy</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the total entropy for the scheme</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toClassDetailsString()">toClassDetailsString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Generates a breakdown of the accuracy for each class (with default title),
 incorporating various information-retrieval statistics, such as
 true/false positive rate, precision/recall/F-Measure.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toClassDetailsString(java.lang.String)">toClassDetailsString</A></B>(java.lang.String&nbsp;title)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Generates a breakdown of the accuracy for each class,
 incorporating various information-retrieval statistics, such as
 true/false positive rate, precision/recall/F-Measure.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toCumulativeMarginDistributionString()">toCumulativeMarginDistributionString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output the cumulative margin distribution as a string suitable
 for input for gnuplot or similar package.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toMatrixString()">toMatrixString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calls toMatrixString() with a default title.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toMatrixString(java.lang.String)">toMatrixString</A></B>(java.lang.String&nbsp;title)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Outputs the performance statistics as a classification confusion
 matrix.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toSummaryString()">toSummaryString</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calls toSummaryString() with no title and no complexity stats</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toSummaryString(boolean)">toSummaryString</A></B>(boolean&nbsp;printComplexityStatistics)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calls toSummaryString() with a default title.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#toSummaryString(java.lang.String, boolean)">toSummaryString</A></B>(java.lang.String&nbsp;title,
                boolean&nbsp;printComplexityStatistics)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Outputs the performance statistics in summary form.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#totalCost()">totalCost</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Gets the total cost, that is, the cost of each prediction times the
 weight of the instance, summed over all instances.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#trueNegativeRate(int)">trueNegativeRate</A></B>(int&nbsp;classIndex)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the true negative rate with respect to a particular class.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#truePositiveRate(int)">truePositiveRate</A></B>(int&nbsp;classIndex)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Calculate the true positive rate with respect to a particular class.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#unclassified()">unclassified</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Gets the number of instances not classified (that is, for
 which no prediction was made by the classifier).</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#updatePriors(weka.core.Instance)">updatePriors</A></B>(<A HREF="../../weka/core/Instance.html" title="class in weka.core">Instance</A>&nbsp;instance)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Updates the class prior probabilities (when incrementally 
 training)</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>&nbsp;void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#useNoPriors()">useNoPriors</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;disables the use of priors, e.g., in case of de-serialized schemes
 that have no access to the original training set, but are evaluated
 on a set set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static&nbsp;java.lang.String</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../weka/classifiers/Evaluation.html#wekaStaticWrapper(weka.classifiers.Sourcable, java.lang.String)">wekaStaticWrapper</A></B>(<A HREF="../../weka/classifiers/Sourcable.html" title="interface in weka.classifiers">Sourcable</A>&nbsp;classifier,
                  java.lang.String&nbsp;className)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Wraps a static classifier in enough source to test using the weka
 class libraries.</TD>
</TR>
</TABLE>
&nbsp;<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE>getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
</TR>
</TABLE>
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