ࡱ> %'$7 bjbjUU "7|7|lzzzzzzz  2A C C C C C C $ xg zg zz| RzzA A :E ,zz  0q t 0 { R^ zzzzData Mining Assignment #1 CSC592 Fall 05 Overview You are to construct a decision tree for the given data set (tennis.arff see course website) using the ID3 decision tree algorithm in the Weka toolset. The dependent variable for the tree is play. Once you have constructed the tree use the tree and the data Weka provides about the tree to answer the questions below. Questions Does the tree adequately describe the data? Why? Why not? Use the decision tree to figure out the value for the dependent variable for the following instance: outlooktemperaturehumiditywindyplayrainyhothighfalse? Justify your answer! Instructions Start the Weka explorer. Load the tennis.arff file using the preprocess tab. Switch tabs to classify and select the ID3 algorithm with the choose button (you will find ID3 under trees). Set the test options to use training set. Make sure that play is the attribute that shows below the test options. Hit the start button the big pane should display information about the decision tree built. Grading Each question is worth 5 points. Handing in your assignment Hand in a written report describing your results. The due date is September 21st in class. %M5H*56,-6z{%-9BHM $$Ifa$ & F$a$$a$MNTX]cefN`EEEEEN $$Ifa$$$Iflrpx ,"  t0644 la<f|}Lz$%-NOj & F^ 1h/ =!"#$% i8@8 NormalCJ_HaJmH sH tH R@R  Heading 1$<@&5CJ KH OJQJ\^JaJ N@N  Heading 3$<@&5CJOJQJ\^JaJ<A@< Default Paragraph Font.U@.  Hyperlink >*B*ph,-6z{%-9BHMNTX]cef|}Lz$%-NOj0(00(00-0-(0 0{ 0{00000000000000(0 0 0 0 0 0 00(000(00Mf s~>B#'%,-89ABGHLNSTWX\]b3333333333#+f| Lutz Hamel3C:\DOCUME~1\HAMEL.CSS\LOCALS~1\TEMP\assignment1.doc Lutz HamelC:\temp\assignment1.doc ~$'6dh^`OJQJo(hHh^`OJQJ^Jo(hHohpp^p`OJQJo(hHh@ @ ^@ `OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh^`OJQJo(hHh^`OJQJ^Jo(hHohPP^P`OJQJo(hHh ^`hH.h ^`hH.h pLp^p`LhH.h @ @ ^@ `hH.h ^`hH.h L^`LhH.h ^`hH.h ^`hH.h PLP^P`LhH.'6d                   %-9BHMNTX]cef@h88p@UnknownGz Times New Roman5Symbol3& z Arial?5 z Courier New;Wingdings"qh{{[ !20d%3QHPData Mining Assignment #1Lutz Lutz HamelOh+'0p  , 8 DPX`hData Mining Assignment #10ataLutzMinutz Normal.dot  Lutz Hamel 2tzMicrosoft Word 9.0e@F#@L@L՜.+,0 hp|  M Data Mining Assignment #1 Title  !"#&Root Entry Fj(1Table WordDocument"SummaryInformation(DocumentSummaryInformation8CompObjjObjectPooljj  FMicrosoft Word Document MSWordDocWord.Document.89q