costcurve.html

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<A NAME="RELATION_NAME"><!-- --></A><H3>
RELATION_NAME</H3>
<PRE>
public static final java.lang.String <B>RELATION_NAME</B></PRE>
<DL>
<DD>The name of the relation used in cost curve datasets
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.evaluation.CostCurve.RELATION_NAME">Constant Field Values</A></DL>
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<A NAME="PROB_COST_FUNC_NAME"><!-- --></A><H3>
PROB_COST_FUNC_NAME</H3>
<PRE>
public static final java.lang.String <B>PROB_COST_FUNC_NAME</B></PRE>
<DL>
<DD>attribute name: Probability Cost Function
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.evaluation.CostCurve.PROB_COST_FUNC_NAME">Constant Field Values</A></DL>
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<A NAME="NORM_EXPECTED_COST_NAME"><!-- --></A><H3>
NORM_EXPECTED_COST_NAME</H3>
<PRE>
public static final java.lang.String <B>NORM_EXPECTED_COST_NAME</B></PRE>
<DL>
<DD>attribute name: Normalized Expected Cost
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.evaluation.CostCurve.NORM_EXPECTED_COST_NAME">Constant Field Values</A></DL>
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<A NAME="THRESHOLD_NAME"><!-- --></A><H3>
THRESHOLD_NAME</H3>
<PRE>
public static final java.lang.String <B>THRESHOLD_NAME</B></PRE>
<DL>
<DD>attribute name: Threshold
<P>
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<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#weka.classifiers.evaluation.CostCurve.THRESHOLD_NAME">Constant Field Values</A></DL>
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<A NAME="CostCurve()"><!-- --></A><H3>
CostCurve</H3>
<PRE>
public <B>CostCurve</B>()</PRE>
<DL>
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<A NAME="getCurve(weka.core.FastVector)"><!-- --></A><H3>
getCurve</H3>
<PRE>
public <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>getCurve</B>(<A HREF="../../../weka/core/FastVector.html" title="class in weka.core">FastVector</A>&nbsp;predictions)</PRE>
<DL>
<DD>Calculates the performance stats for the default class and return 
 results as a set of Instances. The
 structure of these Instances is as follows:<p> <ul> 
 <li> <b>Probability Cost Function </b>
 <li> <b>Normalized Expected Cost</b>
 <li> <b>Threshold</b> contains the probability threshold that gives
 rise to the previous performance values. 
 </ul> <p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>predictions</CODE> - the predictions to base the curve on
<DT><B>Returns:</B><DD>datapoints as a set of instances, null if no predictions
 have been made.<DT><B>See Also:</B><DD><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html" title="class in weka.classifiers.evaluation"><CODE>TwoClassStats</CODE></A></DL>
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<A NAME="getCurve(weka.core.FastVector, int)"><!-- --></A><H3>
getCurve</H3>
<PRE>
public <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> <B>getCurve</B>(<A HREF="../../../weka/core/FastVector.html" title="class in weka.core">FastVector</A>&nbsp;predictions,
                          int&nbsp;classIndex)</PRE>
<DL>
<DD>Calculates the performance stats for the desired class and return 
 results as a set of Instances.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>predictions</CODE> - the predictions to base the curve on<DD><CODE>classIndex</CODE> - index of the class of interest.
<DT><B>Returns:</B><DD>datapoints as a set of instances.</DL>
</DD>
</DL>
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<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;args)</PRE>
<DL>
<DD>Tests the CostCurve generation from the command line.
 The classifier is currently hardcoded. Pipe in an arff file.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - currently ignored</DL>
</DD>
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