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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Tue Jul 15 15:48:38 NZST 2008 --><TITLE>TwoClassStats</TITLE><META NAME="keywords" CONTENT="weka.classifiers.evaluation.TwoClassStats class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="TwoClassStats";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" 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_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD 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target="_blank"><FONT CLASS="NavBarFont1"><B>Weka's home</B></FONT></A> </TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html" title="class in weka.classifiers.evaluation"><B>PREV CLASS</B></A> NEXT CLASS</FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../index.html?weka/classifiers/evaluation/TwoClassStats.html" target="_top"><B>FRAMES</B></A> <A HREF="TwoClassStats.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR><TR><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2"> SUMMARY: NESTED | FIELD | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: FIELD | <A HREF="#constructor_detail">CONSTR</A> | <A HREF="#method_detail">METHOD</A></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><!-- ======== START OF CLASS DATA ======== --><H2><FONT SIZE="-1">weka.classifiers.evaluation</FONT><BR>Class TwoClassStats</H2><PRE>java.lang.Object <IMG SRC="../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.evaluation.TwoClassStats</B></PRE><DL><DT><B>All Implemented Interfaces:</B> <DD><A HREF="../../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></DD></DL><HR><DL><DT><PRE>public class <B>TwoClassStats</B><DT>extends java.lang.Object<DT>implements <A HREF="../../../weka/core/RevisionHandler.html" title="interface in weka.core">RevisionHandler</A></DL></PRE><P>Encapsulates performance functions for two-class problems.<P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.9 $</DD><DT><B>Author:</B></DT> <DD>Len Trigg (len@reeltwo.com)</DD></DL><HR><P><!-- ======== CONSTRUCTOR SUMMARY ======== --><A NAME="constructor_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Constructor Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#TwoClassStats(double, double, double, double)">TwoClassStats</A></B>(double tp, double fp, double tn, double fn)</CODE><BR> Creates the TwoClassStats with the given initial performance values.</TD></TR></TABLE> <!-- ========== METHOD SUMMARY =========== --><A NAME="method_summary"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Method Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/classifiers/evaluation/ConfusionMatrix.html" title="class in weka.classifiers.evaluation">ConfusionMatrix</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getConfusionMatrix()">getConfusionMatrix</A></B>()</CODE><BR> Generates a <code>ConfusionMatrix</code> representing the current two-class statistics, using class names "negative" and "positive".</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getFallout()">getFallout</A></B>()</CODE><BR> Calculate the fallout.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getFalseNegative()">getFalseNegative</A></B>()</CODE><BR> Gets the number of positive instances predicted as negative</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getFalsePositive()">getFalsePositive</A></B>()</CODE><BR> Gets the number of negative instances predicted as positive</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getFalsePositiveRate()">getFalsePositiveRate</A></B>()</CODE><BR> Calculate the false positive rate.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getFMeasure()">getFMeasure</A></B>()</CODE><BR> Calculate the F-Measure.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getPrecision()">getPrecision</A></B>()</CODE><BR> Calculate the precision.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getRecall()">getRecall</A></B>()</CODE><BR> Calculate the recall.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getRevision()">getRevision</A></B>()</CODE><BR> Returns the revision string.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getTrueNegative()">getTrueNegative</A></B>()</CODE><BR> Gets the number of negative instances predicted as negative</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getTruePositive()">getTruePositive</A></B>()</CODE><BR> Gets the number of positive instances predicted as positive</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#getTruePositiveRate()">getTruePositiveRate</A></B>()</CODE><BR> Calculate the true positive rate.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#setFalseNegative(double)">setFalseNegative</A></B>(double fn)</CODE><BR> Sets the number of positive instances predicted as negative</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#setFalsePositive(double)">setFalsePositive</A></B>(double fp)</CODE><BR> Sets the number of negative instances predicted as positive</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#setTrueNegative(double)">setTrueNegative</A></B>(double tn)</CODE><BR> Sets the number of negative instances predicted as negative</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#setTruePositive(double)">setTruePositive</A></B>(double tp)</CODE><BR> Sets the number of positive instances predicted as positive</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html#toString()">toString</A></B>()</CODE><BR> Returns a string containing the various performance measures for the current object</TD></TR></TABLE> <A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor"><TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD><CODE>equals, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ========= CONSTRUCTOR DETAIL ======== --><A NAME="constructor_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Constructor Detail</B></FONT></TH></TR></TABLE><A NAME="TwoClassStats(double, double, double, double)"><!-- --></A><H3>TwoClassStats</H3><PRE>public <B>TwoClassStats</B>(double tp, double fp, double tn, double fn)</PRE><DL><DD>Creates the TwoClassStats with the given initial performance values.<P><DL><DT><B>Parameters:</B><DD><CODE>tp</CODE> - the number of correctly classified positives<DD><CODE>fp</CODE> - the number of incorrectly classified negatives<DD><CODE>tn</CODE> - the number of correctly classified negatives<DD><CODE>fn</CODE> - the number of incorrectly classified positives</DL></DL><!-- ============ METHOD DETAIL ========== --><A NAME="method_detail"><!-- --></A><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2"><B>Method Detail</B></FONT></TH></TR></TABLE><A NAME="setTruePositive(double)"><!-- --></A><H3>setTruePositive</H3><PRE>public void <B>setTruePositive</B>(double tp)</PRE><DL><DD>Sets the number of positive instances predicted as positive<P><DD><DL></DL></DD><DD><DL></DL></DD></DL><HR><A NAME="setFalsePositive(double)"><!-- --></A><H3>setFalsePositive</H3><PRE>public void <B>setFalsePositive</B>(double fp)</PRE><DL><DD>Sets the number of negative instances predicted as positive<P><DD><DL></DL></DD><DD><DL>
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