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 explorer test options carmelo saffioti 2 attribute selection test set michelplantie 3 spam6050report_safe 0 thomas 4 select attributes cross validation thomas 5 racesearch startset thomas 6 explorer test options peter reutemann 7 attribute selection test set peter reutemann 8 select attributes cross validation mark hall yruyieliberoit sat apr 26 154927 2008 message 1 date tue 26 feb 2008 132933 0100 carmelo saffioti subject wekalist explorer test options weka machine learning workbench list messageid 00cf01c878733ed026606e0000c0carmelo contenttype textplain charsetiso88591 thank answer id like understand deeply crossvalidation work suppose kfold crossvalidation works way 1 training model k1 folds 2 testing model 1 fold 3 final model combination resulting k trained models thank advance cheers carmelo reading wekadoc saw models always trained whole training set model statistics output trained full training dataset informational purposes way explorer commandline work twostage process train classifier full training dataset output model explorer step suppressed via options dialog unchecking output model start scratch buildtest classifier according test options question train model crossvalidation option 10 folds trained whole training set 10 subsets statistics output based 10 traintest splits question test options see hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist nwjccxifvqbhvemafr sat apr 26 154927 2008 message 2 date tue 26 feb 2008 140910 0100 michelplantie subject wekalist attribute selection test set dlnirllcwaikatoacnz weka machine learning workbench list messageid 47c40f763060705emafr contenttype textplain charsetiso88591 well since attribute selection pulls away attributes training set way store list attribute discarted remove attributes test set based reading stored attribute list maybe operation takes time attribute selection best regards dr michel plantié lgi2p site eerieema parc scientifique georges besse 30035 nîmes cedex 1 france 33 466387035 fax 33 466387074 email nwjccxifvqbhvemafr httpwwwlgi2pemafrplantie peter reutemann écrit way serialization via explorer batch command im aware though genericobjecteditor supports loadingsaving serialized objects always uninitialized filters classifiers etc youll write little java class outputting intialized filter example code serialization wekawiki article shouldnt big problem anyway cheers peter next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments20080226ad6bddcaattachment0001html cmxlleedxbbptsuperevait sat apr 26 154927 2008 message 3 date tue 26 feb 2008 180345 0100 cet thomas subject wekalist spam6050report_safe 0 foobar sat apr 26 154927 2008 iuxxdkqklistscmswaikatoacnz messageid 20080226170345120ca1808107eva105dadanetit contenttype textplain charsetiso88591 spam detection software running system zombiescmswaikatoacnz identified incoming email possible spam original message attached view isnt spam label similar future email questions see administrator system details content preview understand whats meaning crossvalidation option select attributes tab explorer want backward elimination greedystepwise evaluated classifier classifiersubseteval ie want try eliminating one attribute per time perform crossvalidation accuracy better permanently eliminate attribute proceed another elimination classifiersubseteval editor choose beetwen holding test set using training set crossvalidation option classifier editor directly selct attributes tab dont understand meaning crossvalidation evaluated example reliefattributeeval doesnt sense classifier evaluation external option editor purpose ive axplained check crossvalidation option choose use training classifiersubseteval thanx thomas content analysis details 60 points 50 required pts rule name description 04 html_message body html included message 04 html_10_20 body message 10 20 html 20 mime_html_only body message texthtml mime parts 16 missing_subject missing subject header 05 mime_header_ctype_only contenttype found without required mime headers 12 priority_no_name message priority xmaileruseragent 00 missing_mimeole message xmsmailpriority xmimeole original message completely plain text may unsafe open email clients particular may contain virus confirm address receive spam wish view may safer save file open editor next part embedded message scrubbed thomas subject date tue 26 feb 2008 180345 0100 cet size 2297 url httpslistscmswaikatoacnzpipermailwekalistattachments200802263d2e0a39attachment0001mht thu 07 aug 2008 222524 0500 wekalist digest vol 60 issue 36