abstractweighting.html
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<BR> This operator calculates the relevance of a feature by computing the Gini index of the class distribution, if the given example set would have been splitted according to the feature.</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/features/weighting/InfoGainRatioWeighting.html" title="class in com.rapidminer.operator.features.weighting">InfoGainRatioWeighting</A></B></CODE><BR> This operator calculates the relevance of a feature by computing the information gain ratio for the class distribution (if exampleSet would have been splitted according to each of the given features).</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/features/weighting/InfoGainWeighting.html" title="class in com.rapidminer.operator.features.weighting">InfoGainWeighting</A></B></CODE><BR> This operator calculates the relevance of a feature by computing the information gain in class distribution, if exampleSet would be splitted after the feature.</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/features/weighting/NameBasedWeighting.html" title="class in com.rapidminer.operator.features.weighting">NameBasedWeighting</A></B></CODE><BR> This operator is able to create feature weights based on regular expressions defined for the feature names.</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/features/weighting/OneRErrorWeighting.html" title="class in com.rapidminer.operator.features.weighting">OneRErrorWeighting</A></B></CODE><BR> This operator calculates the relevance of a feature by computing the error rate of a OneR Model on the exampleSet without this feature.</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/features/weighting/PCAWeighting.html" title="class in com.rapidminer.operator.features.weighting">PCAWeighting</A></B></CODE><BR> Uses the factors of one of the principal components (default is the first) as feature weights.</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/features/weighting/ReliefWeighting.html" title="class in com.rapidminer.operator.features.weighting">ReliefWeighting</A></B></CODE><BR> Relief measures the relevance of features by sampling examples and comparing the value of the current feature for the nearest example of the same and of a different class.</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/features/weighting/StandardDeviationWeighting.html" title="class in com.rapidminer.operator.features.weighting">StandardDeviationWeighting</A></B></CODE><BR> Creates weights from the standard deviations of all attributes.</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/features/weighting/SVMWeighting.html" title="class in com.rapidminer.operator.features.weighting">SVMWeighting</A></B></CODE><BR> Uses the coefficients of the normal vector of a linear SVM as feature weights.</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/features/weighting/SymmetricalUncertaintyOperator.html" title="class in com.rapidminer.operator.features.weighting">SymmetricalUncertaintyOperator</A></B></CODE><BR> This operator calculates the relevance of an attribute by measuring the symmetrical uncertainty with respect to the class.</TD></TR></TABLE> <P><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A 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