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<TD><B>Methods inherited from class weka.classifiers.trees.j48.<A HREF="../../../../weka/classifiers/trees/j48/EntropyBasedSplitCrit.html" title="class in weka.classifiers.trees.j48">EntropyBasedSplitCrit</A></B></TD>
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<TD><CODE><A HREF="../../../../weka/classifiers/trees/j48/EntropyBasedSplitCrit.html#logFunc(double)">logFunc</A>, <A HREF="../../../../weka/classifiers/trees/j48/EntropyBasedSplitCrit.html#newEnt(weka.classifiers.trees.j48.Distribution)">newEnt</A>, <A HREF="../../../../weka/classifiers/trees/j48/EntropyBasedSplitCrit.html#oldEnt(weka.classifiers.trees.j48.Distribution)">oldEnt</A>, <A HREF="../../../../weka/classifiers/trees/j48/EntropyBasedSplitCrit.html#splitEnt(weka.classifiers.trees.j48.Distribution)">splitEnt</A></CODE></TD>
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<TD><B>Methods inherited from class weka.classifiers.trees.j48.<A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html" title="class in weka.classifiers.trees.j48">SplitCriterion</A></B></TD>
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<TD><CODE><A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html#splitCritValue(weka.classifiers.trees.j48.Distribution, weka.classifiers.trees.j48.Distribution)">splitCritValue</A>, <A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html#splitCritValue(weka.classifiers.trees.j48.Distribution, weka.classifiers.trees.j48.Distribution, weka.classifiers.trees.j48.Distribution)">splitCritValue</A>, <A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html#splitCritValue(weka.classifiers.trees.j48.Distribution, weka.classifiers.trees.j48.Distribution, int)">splitCritValue</A></CODE></TD>
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<A NAME="InfoGainSplitCrit()"><!-- --></A><H3>
InfoGainSplitCrit</H3>
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public <B>InfoGainSplitCrit</B>()</PRE>
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<A NAME="splitCritValue(weka.classifiers.trees.j48.Distribution)"><!-- --></A><H3>
splitCritValue</H3>
<PRE>
public final double <B>splitCritValue</B>(<A HREF="../../../../weka/classifiers/trees/j48/Distribution.html" title="class in weka.classifiers.trees.j48">Distribution</A>&nbsp;bags)</PRE>
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<DD>This method is a straightforward implementation of the information
 gain criterion for the given distribution.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html#splitCritValue(weka.classifiers.trees.j48.Distribution)">splitCritValue</A></CODE> in class <CODE><A HREF="../../../../weka/classifiers/trees/j48/SplitCriterion.html" title="class in weka.classifiers.trees.j48">SplitCriterion</A></CODE></DL>
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<DT><B>Returns:</B><DD>value of splitting criterion. 0 by default</DL>
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<A NAME="splitCritValue(weka.classifiers.trees.j48.Distribution, double)"><!-- --></A><H3>
splitCritValue</H3>
<PRE>
public final double <B>splitCritValue</B>(<A HREF="../../../../weka/classifiers/trees/j48/Distribution.html" title="class in weka.classifiers.trees.j48">Distribution</A>&nbsp;bags,
                                   double&nbsp;totalNoInst)</PRE>
<DL>
<DD>This method computes the information gain in the same way 
 C4.5 does.
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<DT><B>Parameters:</B><DD><CODE>totalNoInst</CODE> - weight of ALL instances (including the
 ones with missing values).</DL>
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<A NAME="splitCritValue(weka.classifiers.trees.j48.Distribution, double, double)"><!-- --></A><H3>
splitCritValue</H3>
<PRE>
public final double <B>splitCritValue</B>(<A HREF="../../../../weka/classifiers/trees/j48/Distribution.html" title="class in weka.classifiers.trees.j48">Distribution</A>&nbsp;bags,
                                   double&nbsp;totalNoInst,
                                   double&nbsp;oldEnt)</PRE>
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<DD>This method computes the information gain in the same way 
 C4.5 does.
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>totalNoInst</CODE> - weight of ALL instances<DD><CODE>oldEnt</CODE> - entropy with respect to "no-split"-model.</DL>
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