predictionmodel.html
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<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/meta/Binary2MultiClassModel.html" title="class in com.rapidminer.operator.learner.meta">Binary2MultiClassModel</A></B></CODE><BR> This operator uses an inner learning scheme which is able to perform predictions for binary or binominal classification problems and learns a set of these binary models in order to use this set for a given data set with more than two classes.</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/learner/meta/MetaCostModel.html" title="class in com.rapidminer.operator.learner.meta">MetaCostModel</A></B></CODE><BR> This class is associated to the MetaCost operator and supports the evaluation procedures of the MetaCost method.</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/learner/meta/MultiModel.html" title="class in com.rapidminer.operator.learner.meta">MultiModel</A></B></CODE><BR> MultiModels are used for multi class learning tasks.</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/learner/meta/MultiModelByRegression.html" title="class in com.rapidminer.operator.learner.meta">MultiModelByRegression</A></B></CODE><BR> MultiModels are used for multi class learning tasks.</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/learner/meta/RelativeRegressionModel.html" title="class in com.rapidminer.operator.learner.meta">RelativeRegressionModel</A></B></CODE><BR> The model for the relative regression meta learner.</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/learner/meta/SDEnsemble.html" title="class in com.rapidminer.operator.learner.meta">SDEnsemble</A></B></CODE><BR> A subgroup discovery model.</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/learner/meta/SimpleVoteModel.html" title="class in com.rapidminer.operator.learner.meta">SimpleVoteModel</A></B></CODE><BR> A simple vote model.</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/learner/meta/StackingModel.html" title="class in com.rapidminer.operator.learner.meta">StackingModel</A></B></CODE><BR> This class is the model build by the <A HREF="../../../../../com/rapidminer/operator/learner/meta/Stacking.html" title="class in com.rapidminer.operator.learner.meta"><CODE>Stacking</CODE></A> operator.</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/learner/meta/ThresholdModel.html" title="class in com.rapidminer.operator.learner.meta">ThresholdModel</A></B></CODE><BR> This model is created by the <A HREF="../../../../../com/rapidminer/operator/learner/meta/CostBasedThresholdLearner.html" title="class in com.rapidminer.operator.learner.meta"><CODE>CostBasedThresholdLearner</CODE></A>.</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/learner/meta/TransformedRegressionModel.html" title="class in com.rapidminer.operator.learner.meta">TransformedRegressionModel</A></B></CODE><BR> Model for TransformedRegression.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.rules"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/rules/package-summary.html">com.rapidminer.operator.learner.rules</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/rules/package-summary.html">com.rapidminer.operator.learner.rules</A></FONT></TH></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/learner/rules/ConjunctiveRuleModel.html" title="class in com.rapidminer.operator.learner.rules">ConjunctiveRuleModel</A></B></CODE><BR> Each object of this class represents a conjunctive rule with boolean target and nominal 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/learner/rules/RuleModel.html" title="class in com.rapidminer.operator.learner.rules">RuleModel</A></B></CODE><BR> The basic rule model.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.tree"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/tree/package-summary.html">com.rapidminer.operator.learner.tree</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/tree/package-summary.html">com.rapidminer.operator.learner.tree</A></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static class</CODE></FONT></TD><TD><CODE><B><A HREF="../../../../../com/rapidminer/operator/learner/tree/MultiCriterionDecisionStumps.DecisionStumpModel.html" title="class in com.rapidminer.operator.learner.tree">MultiCriterionDecisionStumps.DecisionStumpModel</A></B></CODE><BR> </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/learner/tree/TreeModel.html" title="class in com.rapidminer.operator.learner.tree">TreeModel</A></B></CODE><BR> The tree model is the model created by all decision trees.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.learner.weka"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/weka/package-summary.html">com.rapidminer.operator.learner.weka</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/learner/weka/package-summary.html">com.rapidminer.operator.learner.weka</A></FONT></TH></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/learner/weka/WekaClassifier.html" title="class in com.rapidminer.operator.learner.weka">WekaClassifier</A></B></CODE><BR> A Weka <CODE>Classifier</CODE> which can be used to classify <A HREF="../../../../../com/rapidminer/example/Example.html" title="class in com.rapidminer.example"><CODE>Example</CODE></A>s.</TD></TR></TABLE> <P><A NAME="com.rapidminer.operator.postprocessing"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">Uses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/postprocessing/package-summary.html">com.rapidminer.operator.postprocessing</A></FONT></TH></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableSubHeadingColor"><TH ALIGN="left" COLSPAN="2">Subclasses of <A HREF="../../../../../com/rapidminer/operator/learner/PredictionModel.html" title="class in com.rapidminer.operator.learner">PredictionModel</A> in <A HREF="../../../../../com/rapidminer/operator/postprocessing/package-summary.html">com.rapidminer.operator.postprocessing</A></FONT></TH></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/postprocessing/PlattScalingModel.html" title="class in com.rapidminer.operator.postprocessing">PlattScalingModel</A></B></CODE><BR> A model that contains a boolean classifier and a scaling operation that turns confidence scores into probability estimates.</TD></TR></TABLE> <P><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A 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