text_combined: 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 percentage split explorer vs knowledge flow vgmxmgthsoemailrutgersedu 2 feature selection jirjvzgmailcom 3 percentage split explorer vs knowledge flow mark hall 4 percentage split explorer vs knowledge flow vgmxmgthsoemailrutgersedu 5 string kernel lambda pruning josef zwack 6 weka2uml peter reutemann 7 dbscan algorithm need help rafiqul haque 8 data set vgmxmgthsoemailrutgersedu 9 data set peter reutemann vgmxmgthsoemailrutgersedu sat apr 26 155229 2008 message 1 date tue 4 mar 2008 145358 0500 est vgmxmgthsoemailrutgersedu subject wekalist percentage split explorer vs knowledge flow iuxxdkqklistscmswaikatoacnz messageid 4207128673131204660438squirrelcronosrutgersedu contenttype textplaincharsetiso88591 hi using j48 percentage split 50 would like see training set test set words possible using explorer output somehow data split also used parameters protocol data explorer knowledge flow environment answer different decision tree build different descriptors could somebody explain thank much time aurora costache aurora costache phd research associate maenjcbm rutgersthe state university new jersey 98 brett rd piscataway nj 08854 office1 7324454351 email vgmxmgthsoemailrutgersedu jirjvzgmailcom sat apr 26 155229 2008 message 2 date tue 4 mar 2008 155648 0500 jirjvzgmailcom subject wekalist feature selection iuxxdkqklistscmswaikatoacnz messageid 5f574n1r4705469353x74np9a70n46935357qnprah0mailgmailcom contenttype textplain charsetiso88591 hi using chisquared ranking filter attribute selection however figure numbers first column results signify 201578 etc shown numbers related significance pvalue attribute appears increasing value makes attribute worthy another question basis ranker algorithm rank attributes using following scheme evaluator wekaattributeselectionchisquaredattributeeval search wekaattributeselectionranker 17976931348623157e308 n 1 ranked attributes 201578 2 a2 199243 3 a3 150672 1 a1 123902 4 a4 100298 5 a5 selected attributes 23145 5 thank much next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments20080304cfddb6d8attachment0001html vafzspentahoorg sat apr 26 155229 2008 message 3 date wed 5 mar 2008 095915 1300 mark hall subject wekalist percentage split explorer vs knowledge flow weka machine learning workbench list messageid 20080304205913gb7162cygnuslocal contenttype textplain charsetusascii hi aurora thanks bug report knowledgeflows traintestsplitmaker computing training testing set sizes slightly differently explorer fixed checked cvs models displayed knowledgeflow vs explorer always different case explorer shows model built data knowledgeflow shows model built training half split cheers mark tue mar 04 2008 025358pm 0500 vgmxmgthsoemailrutgersedu wrote hi using j48 percentage split 50 would like see training set test set words possible using explorer output somehow data split also used parameters protocol data explorer knowledge flow environment answer different decision tree build different descriptors could somebody explain thank much time aurora costache aurora costache phd research associate maenjcbm rutgersthe state university new jersey 98 brett rd piscataway nj 08854 office1 7324454351 email vgmxmgthsoemailrutgersedu _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist mark hall senior developerconsultant pentaho open source business intelligence citadel international suite 340 5950 hazeltine national dr orlando fl 32822 usa 64 7 8473537 office 64 21 399132 mobile 1 815 5508637 fax skype markandrewhall yahoo mark_andrew_hall download latest release today vgmxmgthsoemailrutgersedu sat apr 26 155229 2008 message 4 date tue 4 mar 2008 163607 0500 est vgmxmgthsoemailrutgersedu subject wekalist percentage split explorer vs knowledge flow weka machine learning workbench list cc weka machine learning workbench list messageid 50882128673211204666567squirrelcronosrutgersedu contenttype textplaincharsetiso88591 thanks quick response mark question classification using j48 half data visualize half predictions half would like use validation really need somehow see half data used build tree explorer environment using percentage split splitting hand load file explorer analysis thanks lot aurora hi aurora thanks bug report knowledgeflows traintestsplitmaker computing training testing set sizes slightly differently explorer fixed checked cvs models displayed knowledgeflow vs explorer always different case explorer shows model built data knowledgeflow shows model built training half split cheers mark tue mar 04 2008 025358pm 0500 vgmxmgthsoemailrutgersedu wrote hi using j48 percentage split 50 would like see training set test set words possible using explorer output somehow data split also used parameters protocol data explorer knowledge flow environment answer different decision tree build different descriptors could somebody explain thank much time aurora costache aurora costache phd research associate maenjcbm rutgersthe state university new jersey 98 brett rd piscataway nj 08854 office1 7324454351 email vgmxmgthsoemailrutgersedu _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist mark hall senior developerconsultant pentaho open source business intelligence citadel international suite 340 5950 hazeltine national dr orlando fl 32822 usa 64 7 8473537 office 64 21 399132 mobile 1 815 5508637 fax skype markandrewhall yahoo mark_andrew_hall download latest release today _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist aurora costache phd research associate maenjcbm rutgersthe state university new jersey 98 brett rd piscataway nj 08854 office1 7324454351 email vgmxmgthsoemailrutgersedu iqxuurpgmxde sat apr 26 155229 2008 message 5 date wed 05 mar 2008 121332 0100 josef zwack subject wekalist string kernel lambda pruning iuxxdkqklistscmswaikatoacnz messageid 20080305111332209770gmxnet contenttype textplain charsetusascii hi im using support vector regression string kernel question lambda pruning mode far understand maxsubsequencelengthparameter determines lenght lambda pruning applied pruningmethod set pruning maxsubsequencelength influence calculations anyone confirm thanks lot josef dlnirllcwaikatoacnz sat apr 26 155229 2008 message 6 date thu 06 mar 2008 095920 1300 peter reutemann subject wekalist weka2uml weka machine learning workbench list messageid 47cf09a84050601waikatoacnz contenttype textplain charsetiso88591 formatflowed give uml weka theres official uml diagrams etc available weka youll reverseengineer code could instance use umbrello httpumlsourceforgenet uml plugins available eclipse httpeclipseplugins2yneteclipsepluginsjspcategoryuml theres howto wekawiki use weka eclipse hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 dnrxv_ttnxyahoocom sat apr 26 155229 2008 message 7 date wed 5 mar 2008 135021 0800 pst rafiqul haque subject wekalist dbscan algorithm need help iuxxdkqklistscmswaikatoacnz messageid 3392147890qmweb30008mailmudyahoocom contenttype textplain charsetiso88591 dear experts dealing large dataset 2001 instances 144 attributes using dbscan clustering algorith found big problem parameter valuesepsilon minpoints enetered following epsilon01 minpoints6 ii epsilon02 minpoints6 iiiepsilon10 minpoints4 iv epsilon60 minpoints10 found 13138 first three inputs respectively 961785 instances detected noise case last one number cluster 1 would greatful anyone solve following questions appropriate valuesepsilon minpts dataset144 attributes 2001 instances ii computational way else understand possible appropriate parameter values iii please provide documents sites rtree data structure looking early reply thanking advance rafik nb using weka workbench357 version attributes dataset nominal missing values replaced wekafilterunsupervisedattributereplacemissingvalues ____________________________________________________________________________________ better friend newshound knowitall yahoo mobile try httpmobileyahoocom_yltahu06i62sr8hdtdypao8wcj9tacj vgmxmgthsoemailrutgersedu sat apr 26 155229 2008 message 8 date wed 5 mar 2008 165051 0500 est vgmxmgthsoemailrutgersedu subject wekalist data set weka machine learning workbench list cc weka machine learning workbench list messageid 4499128673131204753851squirrelcronosrutgersedu contenttype textplaincharsetiso88591 hi could somebody tell splitting data j48 algorithm percentage splitting 50 random seed 1 options panel keep splitting random seed multilayerperceptron dataset model multilayerperceptron example first half j48 first half multilayerperceptron point always data set keeping splitting random seed methods hope make sense appreciate comment thanks aurora aurora costache phd research associate maenjcbm rutgersthe state university new jersey 98 brett rd piscataway nj 08854 office1 7324454351 email vgmxmgthsoemailrutgersedu dlnirllcwaikatoacnz sat apr 26 155229 2008 message 9 date thu 06 mar 2008 111903 1300 peter reutemann subject wekalist data set weka machine learning workbench list messageid 47cf1c5740708waikatoacnz contenttype textplain charsetiso88591 formatflowed could somebody tell splitting data j48 algorithm percentage splitting 50 random seed 1 options panel keep splitting random seed multilayerperceptron dataset model multilayerperceptron example first half j48 first half multilayerperceptron point always data set keeping splitting random seed methods classifiers dont split data done code evaluation class explorer experimenter knowledgeflow words dont change split percentage seed value youll end datasets train test set hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 61 issue 3 fri 08 aug 2008 060447 0500 wekalist digest vol 61 issue 3