ohwwlejspbfotbplistscmswaikatoacnz send wekalist mailing list submissions iuxxdkqklistscmswaikatoacnz subscribe unsubscribe via world wide web visit httpslistscmswaikatoacnzmailmanlistinfowekalist via email send message subject body help ohwwlejspbfotbplistscmswaikatoacnz reach person managing list pobypuhshvhzjlistscmswaikatoacnz replying please edit subject line specific contents wekalist digest todays topics 1 weka 3412 error could find main class 2 represent missing values database peter reutemann 3 weka attribution selection method wrapper peter reutemann 4 newbie question infamous libsvm sparkgap 5 newbie question infamous libsvm peter reutemann 6 listen tag music antónio pedro oliveira 7 wekalist digest vol 61 issue 4 eduardo sanjurjo 8 wekalist digest vol 61 issue 4 peter reutemann 9 iteration adaboost huo jing yoakecuzigmailcom sat apr 26 155230 2008 message 1 date thu 6 mar 2008 183209 0200 subject wekalist weka 3412 error could find main class weka machine learning workbench list messageid 3my1k8193857726438y188b93afh7264b80v8819x8fhmailgmailcom contenttype textplain charsetiso88591 thu mar 6 2008 549 pm ashutosh wrote hello list problem somehow circumvented today installed latest version jvm checked bug suggestions previous versions wiki dont apply version classpath already added runwekabat file able open weka doubleclicking wekajar file however maxheap runwekaini getting picked 2000m weka crashes trying load big file addition unable run command command prompt javaw jar xmx2200m classpath wekajar nothing happens run using windows xp professional even cleared everything classpath variable help please thanks open command prompt go folder wekajar located run java jar wekajar want set maximum heap use xmx argument jar parameter order use 256 megabytes memory youd type java xmx256m jar wekajar command youve written lacks jar file execute jar file classpath jar file jar b request 22 something less gigabytes memory heap size sure much memory cheers george next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008030630aa4e44attachment0001html qmabcthqsquirrelnl sat apr 26 155223 2008 message 8 date 28 feb 2008 004624 0100 johan vromans subject tuxoniceusers speed versus snappyness enpsfhxzstvnzliststuxonicenet messageid contenttype textplain charset kenneth crudup writes thanks answers reading docs seems imagesizelimit nocache best safest way johan dlnirllcwaikatoacnz sat apr 26 155230 2008 message 2 date fri 07 mar 2008 083215 1300 peter reutemann subject wekalist represent missing values database weka machine learning workbench list messageid 47d046bf9010902waikatoacnz contenttype textplain charsetutf8 formatflowed represent missing value database tried weka turns new value class null values interpreted missing values one grabbing data database cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 dlnirllcwaikatoacnz sat apr 26 155230 2008 message 3 date fri 07 mar 2008 083859 1300 peter reutemann subject wekalist weka attribution selection method wrapper weka machine learning workbench list messageid 47d048537060805waikatoacnz contenttype textplain charsetiso88591 formatflowed using weka preevaluating different classifiers attribute selection methods noticed combination wrapper decision stump available familiar wrapper method therefore wondering combination possible algorithmic reason could explain mean combination wrapper decisionstump available ive run combination wrappersubseteval decisionstump base classifier bestfirstgeneticsearch search method explorer works fine however im sure whether decisionstump useful base classifier wrappersubseteval using latest cvs code developer version cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 cfuhjrjyzrmcornelledu sat apr 26 155230 2008 message 4 date thu 6 mar 2008 115516 0800 pst sparkgap subject wekalist newbie question infamous libsvm iuxxdkqklistscmswaikatoacnz messageid 15839853posttalknabblecom contenttype textplain charsetusascii hi ive seemingly correctly added libsvmjar classpath appears java wekacoresysteminfo classpathfor 357 however appear classifier pull menu assume copy command line explorer many thanks view message context httpwwwnabblecomnewbiequestioninfamouslibsvmtp15839853p15839853html sent weka mailing list archive nabblecom dlnirllcwaikatoacnz sat apr 26 155230 2008 message 5 date fri 07 mar 2008 092144 1300 peter reutemann subject wekalist newbie question infamous libsvm weka machine learning workbench list messageid 47d052583030804waikatoacnz contenttype textplain charsetiso88591 formatflowed ive seemingly correctly added libsvmjar classpath appears java wekacoresysteminfo classpathfor 357 however appear classifier pull menu assume copy command line explorer many thanks libsvm wrapper part weka available regardless whether libsvmjar classpath libsvm uses reflection call libsvm classes means compile even libsvm available libsvm classifier located following package wekaclassifiersfunctions hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 optgdopustudentdeiucpt sat apr 26 155230 2008 message 6 date thu 06 mar 2008 230913 0000 antónio pedro oliveira subject wekalist listen tag music iuxxdkqklistscmswaikatoacnz messageid 47d079998050707studentdeiucpt contenttype textplain charsetiso88591 apologies appropriate mailing list case would like listen tag music go following address youll need less 10 minutes httpstudentdeiucptapsimoesphdmusicismir08indexhtml thanks attention antónio pedro oliveira vvrghwk_kxuiisvsyahooes sat apr 26 155230 2008 message 7 date thu 6 mar 2008 151950 0800 pst eduardo sanjurjo subject wekalist wekalist digest vol 61 issue 4 iuxxdkqklistscmswaikatoacnz messageid 29826062106qmweb56512mailre3yahoocom contenttype textplain charsetutf8 hi using weka evaluating different classifiers attribute selection methods use experimenter evaluate various classifiers copy paste results excel view best prediction generate graphics way automatize process something like import classifiers andtheir possible parameter experimenter make batch processing canorder analyze results saw project benchmarking weka think best solution dont know exists solutions httpwwwcswaikatoacnzfracpetedownloadsbmfw available classifiers options make import database thanks advance ______________________________________________ enviado desde correo yahoo disfruta de una bandeja de entrada mãs inteligente httpesdocsyahoocommailoverviewindexhtml next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200803067a216872attachment0001html dlnirllcwaikatoacnz sat apr 26 155230 2008 message 8 date fri 07 mar 2008 141334 1300 peter reutemann subject wekalist wekalist digest vol 61 issue 4 weka machine learning workbench list messageid 47d096be90803waikatoacnz contenttype textplain charsetutf8 formatflowed using weka evaluating different classifiers attribute selection methods use experimenter evaluate various classifiers copy paste results excel view best prediction generate graphics way automatize process unless youre willing hack code either subclass wekaexperimentresultmatrix class one subclasses resultmatrixcsv instance override following methods eg dumping generated data file tostringheader tostringkey tostringmatrix tostringranking tostringsummary hack wekaguiexplorerresultspanel class method performtest something like import classifiers andtheir possible parameter theres practical feasible way generating possible parameter settings classifier apart fact weka doesnt provide ranges parameters classifier takes continuousvalued parameter like j48s confidence parameter would almost infinite number possible values experimenter make batch processing canorder analyze results cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 pgpmmednetuclaedu sat apr 26 155230 2008 message 9 date fri 7 mar 2008 004405 0800 huo jing subject wekalist iteration adaboost messageid 27vc545ru8lp2h9xof3054t7uw75m5992f30dwadmedmail4admedctruclaedu contenttype textplain charsetgb2312 hi questions using adaboost m1 weka explorer gui 1 manually set iterations 2 meaning missing report example classifier model full training set adaboostm1 base classifiers weights decision stump classifications energy 657585e5 no_responding energy 657585e5 responding energy missing no_responding class distributions energy 657585e5 responding no_responding 00 10 energy 657585e5 responding no_responding 06666666666666666 03333333333333333 energy missing responding no_responding 046153846153846156 05384615384615384 weight 12 thank much cheers jing important warning email attachments intended use person entity addressed may contain information privileged confidential recipient obligated maintain safe secure confidential manner unauthorized redisclosure failure maintain confidentiality may subject federal state penalties recipient please immediately notify us return email delete message computer _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 61 issue 5 fri 08 aug 2008 082521 0500 wekalist digest vol 61 issue 5