thresholdcurve.html
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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_10) on Fri Jan 26 16:34:43 NZDT 2007 --><TITLE>ThresholdCurve</TITLE><META NAME="keywords" CONTENT="weka.classifiers.evaluation.ThresholdCurve class"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="ThresholdCurve";}</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 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-summary.html"><FONT CLASS="NavBarFont1"><B>Package</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Class</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="http://www.cs.waikato.ac.nz/ml/weka/" 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/Prediction.html" title="interface in weka.classifiers.evaluation"><B>PREV CLASS</B></A> <A HREF="../../../weka/classifiers/evaluation/TwoClassStats.html" title="class in weka.classifiers.evaluation"><B>NEXT CLASS</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../../index.html?weka/classifiers/evaluation/ThresholdCurve.html" target="_top"><B>FRAMES</B></A> <A HREF="ThresholdCurve.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 | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD><TD VALIGN="top" CLASS="NavBarCell3"><FONT SIZE="-2">DETAIL: <A HREF="#field_detail">FIELD</A> | <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 ThresholdCurve</H2><PRE>java.lang.Object <IMG SRC="../../../resources/inherit.gif" ALT="extended by "><B>weka.classifiers.evaluation.ThresholdCurve</B></PRE><HR><DL><DT><PRE>public class <B>ThresholdCurve</B><DT>extends java.lang.Object</DL></PRE><P>Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes. For example, the typical threshold value of 0.5 means the predicted probability of "positive" must be higher than 0.5 for the instance to be predicted as "positive". The resulting dataset can be used to visualize precision/recall tradeoff, or for ROC curve analysis (true positive rate vs false positive rate).<P><P><DL><DT><B>Version:</B></DT> <DD>$Revision: 1.20 $</DD><DT><B>Author:</B></DT> <DD>Len Trigg (len@reeltwo.com)</DD></DL><HR><P><!-- =========== FIELD SUMMARY =========== --><A NAME="field_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>Field Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#FALLOUT_NAME">FALLOUT_NAME</A></B></CODE><BR> attribute name: Fallout</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#FALSE_NEG_NAME">FALSE_NEG_NAME</A></B></CODE><BR> attribute name: False Negatives</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#FALSE_POS_NAME">FALSE_POS_NAME</A></B></CODE><BR> attribute name: False Positives</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#FMEASURE_NAME">FMEASURE_NAME</A></B></CODE><BR> attribute name: FMeasure</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#FP_RATE_NAME">FP_RATE_NAME</A></B></CODE><BR> attribute name: False Positive Rate"</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#PRECISION_NAME">PRECISION_NAME</A></B></CODE><BR> attribute name: Precision</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#RECALL_NAME">RECALL_NAME</A></B></CODE><BR> attribute name: Recall</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#RELATION_NAME">RELATION_NAME</A></B></CODE><BR> The name of the relation used in threshold curve datasets</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#THRESHOLD_NAME">THRESHOLD_NAME</A></B></CODE><BR> attribute name: Threshold</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#TP_RATE_NAME">TP_RATE_NAME</A></B></CODE><BR> attribute name: True Positive Rate</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#TRUE_NEG_NAME">TRUE_NEG_NAME</A></B></CODE><BR> attribute name: True Negatives</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static java.lang.String</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#TRUE_POS_NAME">TRUE_POS_NAME</A></B></CODE><BR> attribute name: True Positives</TD></TR></TABLE> <!-- ======== 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/ThresholdCurve.html#ThresholdCurve()">ThresholdCurve</A></B>()</CODE><BR> </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/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#getCurve(weka.core.FastVector)">getCurve</A></B>(<A HREF="../../../weka/core/FastVector.html" title="class in weka.core">FastVector</A> predictions)</CODE><BR> Calculates the performance stats for the default class and return results as a set of Instances.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE> <A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A></CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#getCurve(weka.core.FastVector, int)">getCurve</A></B>(<A HREF="../../../weka/core/FastVector.html" title="class in weka.core">FastVector</A> predictions, int classIndex)</CODE><BR> Calculates the performance stats for the desired class and return results as a set of Instances.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#getNPointPrecision(weka.core.Instances, int)">getNPointPrecision</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> tcurve, int n)</CODE><BR> Calculates the n point precision result, which is the precision averaged over n evenly spaced (w.r.t recall) samples of the curve.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static double</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#getROCArea(weka.core.Instances)">getROCArea</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> tcurve)</CODE><BR> Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney statistic.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static int</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#getThresholdInstance(weka.core.Instances, double)">getThresholdInstance</A></B>(<A HREF="../../../weka/core/Instances.html" title="class in weka.core">Instances</A> tcurve, double threshold)</CODE><BR> Gets the index of the instance with the closest threshold value to the desired target</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1"><CODE>static void</CODE></FONT></TD><TD><CODE><B><A HREF="../../../weka/classifiers/evaluation/ThresholdCurve.html#main(java.lang.String[])">main</A></B>(java.lang.String[] args)</CODE><BR> Tests the ThresholdCurve generation from the command line.</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, toString, wait, wait, wait</CODE></TD></TR></TABLE> <P><!-- ============ FIELD DETAIL =========== --><A NAME="field_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>Field Detail</B></FONT></TH></TR></TABLE><A NAME="RELATION_NAME"><!-- --></A><H3>RELATION_NAME</H3><PRE>public static final java.lang.String <B>RELATION_NAME</B></PRE><DL><DD>The name of the relation used in threshold curve datasets<P><DL>⌨️ 快捷键说明
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