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<B>Class <A HREF="weka/attributeSelection/UnsupervisedAttributeEvaluator.html">weka.attributeSelection.UnsupervisedAttributeEvaluator</A> implements Serializable</B></FONT></TD>
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<P>
<A NAME="weka.attributeSelection.UnsupervisedSubsetEvaluator"><!-- --></A>
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<B>Class <A HREF="weka/attributeSelection/UnsupervisedSubsetEvaluator.html">weka.attributeSelection.UnsupervisedSubsetEvaluator</A> implements Serializable</B></FONT></TD>
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<A NAME="weka.attributeSelection.WrapperSubsetEval"><!-- --></A>
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<B>Class <A HREF="weka/attributeSelection/WrapperSubsetEval.html">weka.attributeSelection.WrapperSubsetEval</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
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<B>Serialized Fields</B></FONT></TD>
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<H3>
m_trainInstances</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_trainInstances</B></PRE>
<DL>
<DD>training instances</DL>
<HR>

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>class index</DL>
<HR>

<H3>
m_numAttribs</H3>
<PRE>
int <B>m_numAttribs</B></PRE>
<DL>
<DD>number of attributes in the training data</DL>
<HR>

<H3>
m_numInstances</H3>
<PRE>
int <B>m_numInstances</B></PRE>
<DL>
<DD>number of instances in the training data</DL>
<HR>

<H3>
m_Evaluation</H3>
<PRE>
<A HREF="weka/classifiers/Evaluation.html">Evaluation</A> <B>m_Evaluation</B></PRE>
<DL>
<DD>holds an evaluation object</DL>
<HR>

<H3>
m_BaseClassifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_BaseClassifier</B></PRE>
<DL>
<DD>holds the base classifier object</DL>
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<H3>
m_folds</H3>
<PRE>
int <B>m_folds</B></PRE>
<DL>
<DD>number of folds to use for cross validation</DL>
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<H3>
m_seed</H3>
<PRE>
int <B>m_seed</B></PRE>
<DL>
<DD>random number seed</DL>
<HR>

<H3>
m_threshold</H3>
<PRE>
double <B>m_threshold</B></PRE>
<DL>
<DD>the threshold by which to do further cross validations when
 estimating the accuracy of a subset</DL>

<P>
<HR SIZE="4" NOSHADE>

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<B>Package</B> <B>weka.classifiers</B></FONT></TD>
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<P>
<A NAME="weka.classifiers.AdaBoostM1"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/AdaBoostM1.html">weka.classifiers.AdaBoostM1</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
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<B>Serialized Fields</B></FONT></TD>
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<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The model base classifier to use</DL>
<HR>

<H3>
m_Classifiers</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A>[] <B>m_Classifiers</B></PRE>
<DL>
<DD>Array for storing the generated base classifiers.</DL>
<HR>

<H3>
m_Betas</H3>
<PRE>
double[] <B>m_Betas</B></PRE>
<DL>
<DD>Array for storing the weights for the votes.</DL>
<HR>

<H3>
m_MaxIterations</H3>
<PRE>
int <B>m_MaxIterations</B></PRE>
<DL>
<DD>The maximum number of boost iterations</DL>
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<H3>
m_NumIterations</H3>
<PRE>
int <B>m_NumIterations</B></PRE>
<DL>
<DD>The number of successfully generated base classifiers.</DL>
<HR>

<H3>
m_WeightThreshold</H3>
<PRE>
int <B>m_WeightThreshold</B></PRE>
<DL>
<DD>Weight Threshold. The percentage of weight mass used in training</DL>
<HR>

<H3>
m_Debug</H3>
<PRE>
boolean <B>m_Debug</B></PRE>
<DL>
<DD>Debugging mode, gives extra output if true</DL>
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<H3>
m_UseResampling</H3>
<PRE>
boolean <B>m_UseResampling</B></PRE>
<DL>
<DD>Use boosting with reweighting?</DL>
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<H3>
m_Seed</H3>
<PRE>
int <B>m_Seed</B></PRE>
<DL>
<DD>Seed for boosting with resampling.</DL>
<HR>

<H3>
m_NumClasses</H3>
<PRE>
int <B>m_NumClasses</B></PRE>
<DL>
<DD>The number of classes</DL>

<P>
<A NAME="weka.classifiers.AdditiveRegression"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/AdditiveRegression.html">weka.classifiers.AdditiveRegression</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
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<B>Serialized Fields</B></FONT></TD>
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<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>Base classifier.</DL>
<HR>

<H3>
m_classIndex</H3>
<PRE>
int <B>m_classIndex</B></PRE>
<DL>
<DD>Class index.</DL>
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<H3>
m_shrinkage</H3>
<PRE>
double <B>m_shrinkage</B></PRE>
<DL>
<DD>Shrinkage (Learning rate). Default = no shrinkage.</DL>
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<H3>
m_additiveModels</H3>
<PRE>
<A HREF="weka/core/FastVector.html">FastVector</A> <B>m_additiveModels</B></PRE>
<DL>
<DD>The list of iteratively generated models.</DL>
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<H3>
m_debug</H3>
<PRE>
boolean <B>m_debug</B></PRE>
<DL>
<DD>Produce debugging output.</DL>
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<H3>
m_maxModels</H3>
<PRE>
int <B>m_maxModels</B></PRE>
<DL>
<DD>Maximum number of models to produce. -1 indicates keep going until the error
 threshold is met.</DL>

<P>
<A NAME="weka.classifiers.AttributeSelectedClassifier"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/AttributeSelectedClassifier.html">weka.classifiers.AttributeSelectedClassifier</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
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<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The classifier</DL>
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<H3>
m_AttributeSelection</H3>
<PRE>
<A HREF="weka/attributeSelection/AttributeSelection.html">AttributeSelection</A> <B>m_AttributeSelection</B></PRE>
<DL>
<DD>The attribute selection object</DL>
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<H3>
m_Evaluator</H3>
<PRE>
<A HREF="weka/attributeSelection/ASEvaluation.html">ASEvaluation</A> <B>m_Evaluator</B></PRE>
<DL>
<DD>The attribute evaluator to use</DL>
<HR>

<H3>
m_Search</H3>
<PRE>
<A HREF="weka/attributeSelection/ASSearch.html">ASSearch</A> <B>m_Search</B></PRE>
<DL>
<DD>The search method to use</DL>
<HR>

<H3>
m_ReducedHeader</H3>
<PRE>
<A HREF="weka/core/Instances.html">Instances</A> <B>m_ReducedHeader</B></PRE>
<DL>
<DD>The header of the dimensionally reduced data</DL>
<HR>

<H3>
m_numClasses</H3>
<PRE>
int <B>m_numClasses</B></PRE>
<DL>
<DD>The number of class vals in the training data (1 if class is numeric)</DL>
<HR>

<H3>
m_numAttributesSelected</H3>
<PRE>
double <B>m_numAttributesSelected</B></PRE>
<DL>
<DD>The number of attributes selected by the attribute selection phase</DL>
<HR>

<H3>
m_selectionTime</H3>
<PRE>
double <B>m_selectionTime</B></PRE>
<DL>
<DD>The time taken to select attributes in milliseconds</DL>
<HR>

<H3>
m_totalTime</H3>
<PRE>
double <B>m_totalTime</B></PRE>
<DL>
<DD>The time taken to select attributes AND build the classifier</DL>

<P>
<A NAME="weka.classifiers.Bagging"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/Bagging.html">weka.classifiers.Bagging</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
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<B>Serialized Fields</B></FONT></TD>
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<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The model base classifier to use</DL>
<HR>

<H3>
m_Classifiers</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A>[] <B>m_Classifiers</B></PRE>
<DL>
<DD>Array for storing the generated base classifiers.</DL>
<HR>

<H3>
m_NumIterations</H3>
<PRE>
int <B>m_NumIterations</B></PRE>
<DL>
<DD>The number of iterations.</DL>
<HR>

<H3>
m_Seed</H3>
<PRE>
int <B>m_Seed</B></PRE>
<DL>
<DD>The seed for random number generation.</DL>
<HR>

<H3>
m_BagSizePercent</H3>
<PRE>
int <B>m_BagSizePercent</B></PRE>
<DL>
<DD>The size of each bag sample, as a percentage of the training size</DL>

<P>
<A NAME="weka.classifiers.ClassificationViaRegression"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/ClassificationViaRegression.html">weka.classifiers.ClassificationViaRegression</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
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<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
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<H3>
m_Classifiers</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A>[] <B>m_Classifiers</B></PRE>
<DL>
<DD>The classifiers. (One for each class.)</DL>
<HR>

<H3>
m_ClassFilters</H3>
<PRE>
<A HREF="weka/filters/MakeIndicatorFilter.html">MakeIndicatorFilter</A>[] <B>m_ClassFilters</B></PRE>
<DL>
<DD>The filters used to transform the class.</DL>
<HR>

<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The class name of the base classifier.</DL>

<P>
<A NAME="weka.classifiers.Classifier"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/Classifier.html">weka.classifiers.Classifier</A> implements Serializable</B></FONT></TD>
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<P>

<P>
<A NAME="weka.classifiers.CostMatrix"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/CostMatrix.html">weka.classifiers.CostMatrix</A> implements Serializable</B></FONT></TD>
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<P>
<A NAME="weka.classifiers.CostSensitiveClassifier"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
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<B>Class <A HREF="weka/classifiers/CostSensitiveClassifier.html">weka.classifiers.CostSensitiveClassifier</A> implements Serializable</B></FONT></TD>
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<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
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<B>Serialized Fields</B></FONT></TD>
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<H3>
m_MatrixSource</H3>
<PRE>
int <B>m_MatrixSource</B></PRE>
<DL>
<DD>Indicates the current cost matrix source</DL>
<HR>

<H3>
m_OnDemandDirectory</H3>
<PRE>
java.io.File <B>m_OnDemandDirectory</B></PRE>
<DL>
<DD>The directory used when loading cost files on demand, null indicates
 current directory</DL>
<HR>

<H3>
m_CostFile</H3>
<PRE>
java.lang.String <B>m_CostFile</B></PRE>
<DL>
<DD>The name of the cost file, for command line options</DL>
<HR>

<H3>
m_CostMatrix</H3>
<PRE>
<A HREF="weka/classifiers/CostMatrix.html">CostMatrix</A> <B>m_CostMatrix</B></PRE>
<DL>
<DD>The cost matrix</DL>
<HR>

<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The classifier</DL>
<HR>

<H3>
m_Seed</H3>
<PRE>
int <B>m_Seed</B></PRE>
<DL>
<DD>Seed for reweighting using resampling.</DL>
<HR>

<H3>
m_MinimizeExpectedCost</H3>
<PRE>
boolean <B>m_MinimizeExpectedCost</B></PRE>
<DL>
<DD>True if the costs should be used by selecting the minimum expected
 cost (false means weight training data by the costs)</DL>

<P>
<A NAME="weka.classifiers.CVParameterSelection"><!-- --></A>
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<B>Class <A HREF="weka/classifiers/CVParameterSelection.html">weka.classifiers.CVParameterSelection</A> implements Serializable</B></FONT></TD>
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</TABLE>

<P>
<A NAME="serializedForm"><!-- --></A>
<TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%">
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<TD COLSPAN=1><FONT SIZE="+2">
<B>Serialized Fields</B></FONT></TD>
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</TABLE>

<H3>
m_Classifier</H3>
<PRE>
<A HREF="weka/classifiers/Classifier.html">Classifier</A> <B>m_Classifier</B></PRE>
<DL>
<DD>The generated base classifier</DL>
<HR>

<H3>
m_ClassifierOptions</H3>
<PRE>
java.lang.String[] <B>m_ClassifierOptions</B></PRE>
<DL>
<DD>The base classifier options (not including those being set
 by cross-validation)</DL>
<HR>

<H3>
m_BestClassifierOptions</H3>
<PRE>
java.lang.String[] <B>m_BestClassifierOptions</B></PRE>
<DL>
<DD>The set of all classifier options as determined by cross-validation</DL>
<HR>

<H3>
m_BestPerformance</H3>
<PRE>
double <B>m_BestPerformance</B></PRE>
<DL>
<DD>The cross-validated performance of the best options</DL>
<HR>

<H3>
m_CVParams</H3>
<PRE