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CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Class Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/LeastMedSq.html" title="class in weka.classifiers.functions">LeastMedSq</A></B></TD><TD>Implements a least median sqaured linear regression utilising the existing weka LinearRegression class to form predictions.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/LinearRegression.html" title="class in weka.classifiers.functions">LinearRegression</A></B></TD><TD>Class for using linear regression for prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/Logistic.html" title="class in weka.classifiers.functions">Logistic</A></B></TD><TD>Second implementation for building and using a multinomial logistic regression model with a ridge estimator.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/MultilayerPerceptron.html" title="class in weka.classifiers.functions">MultilayerPerceptron</A></B></TD><TD>A Classifier that uses backpropagation to classify instances.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/PaceRegression.html" title="class in weka.classifiers.functions">PaceRegression</A></B></TD><TD>Class for building pace regression linear models and using them for prediction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/RBFNetwork.html" title="class in weka.classifiers.functions">RBFNetwork</A></B></TD><TD>Class that implements a normalized Gaussian radial basis function network.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/SimpleLinearRegression.html" title="class in weka.classifiers.functions">SimpleLinearRegression</A></B></TD><TD>Class for learning a simple linear regression model.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/SimpleLogistic.html" title="class in weka.classifiers.functions">SimpleLogistic</A></B></TD><TD>Class for building a logistic regression model using LogitBoost.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/SMO.html" title="class in weka.classifiers.functions">SMO</A></B></TD><TD>Implements John C.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/SMOreg.html" title="class in weka.classifiers.functions">SMOreg</A></B></TD><TD>Implements Alex J.Smola and Bernhard Scholkopf sequential minimal optimization algorithm for training a support vector regression using polynomial or RBF kernels.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/VotedPerceptron.html" title="class in weka.classifiers.functions">VotedPerceptron</A></B></TD><TD>Implements the voted perceptron algorithm by Freund and Schapire.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../weka/classifiers/functions/Winnow.html" title="class in weka.classifiers.functions">Winnow</A></B></TD><TD>Implements Winnow and Balanced Winnow algorithms by N.</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=3 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR 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