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 multilayerperceptron results david poelz 2 wekalist digest vol 60 issue 10 rough jade xlicqjmelloworg sun feb 24 102737 2008 message 1 date fri 08 feb 2008 053944 0100 david poelz subject wekalist multilayerperceptron results weka machine learning workbench list messageid 1202445584284374camelpoelzddesktop contenttype textplain hi trying classify data set 3 classes multilayerperceptron algorithm using weka data mining programm testing various parameter settings see one yields best results experimenting various learning rates momentums delay onoff far parameter combinations yielded good results around 85 correctly classified instances every find combination parameters classification doesnt work one sometimes even two classes seems left process confusion matrix looks like following b c classified 0 6838 4 inf025 0 6728 72 b 025075 0 2141 4952 c 075inf found pattern parameters causes reason behaviour david futqlhzpajgmailcom sun feb 24 102737 2008 message 2 date fri 8 feb 2008 132004 0800 rough jade subject wekalist wekalist digest vol 60 issue 10 iuxxdkqklistscmswaikatoacnz messageid 62a4gi8s0658277462a48682065w2d74i2848i82065wmailgmailcom contenttype textplain charsetiso88591 ive installed j2se runtime environment 5 update14 computer set environment variable listed user variables variable name path variable value cprogram filesweka35 however error persists rj feb 8 2008 1144 wrote 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 357exe installation problems danilovich yann 2 question bug uday kamath 3 event sequence mining budziak g 4 question bug cristina torres 5 find algorithms explanation nanda subrat ge research message 1 date thu 7 feb 2008 151531 0500 danilovich yann subject wekalist weka 357exe installation problems weka machine learning workbench list messageid 280hq5l0ghj79063e80h259kg197r06d28u72590usbe3corpmpicom contenttype textplain charsetiso88591 weka 357 work jre6 need jre5 1 make sure environment path variable points installation directoryjrebin 2 path jre5 must listed jre6 yann ________________________________ mackmusdhbijzgslistscmswaikatoacnz mailtomackmusdhbijzgslistscmswaikatoacnz behalf rough jade sent thursday february 07 2008 1152 iuxxdkqklistscmswaikatoacnz subject wekalist weka 357exe installation problems dear list newbie using weka downloaded developer version windows already installed java j2se jdk16 machine try installing weka357exe facing problem error shows command promptdos cprogramfilesweka 357 popup java launcher message couldnt find mailclass application exit search wiki gave classpath still uninstall existing java jdk try weka357jreexe still kindly need help iam using winxp ibm desktop rj email including attachments confidential business communication may contain information confidential proprietary andor privileged email intended individuals addressed may saved copied printed disclosed used anyone else thean intended recipient please immediately delete email computer system notify sender thank next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008020753fe4920attachment0001html message 2 date thu 7 feb 2008 151618 0500 uday kamath subject wekalist question bug iuxxdkqklistscmswaikatoacnz messageid 925916921402717592j91ml2140mz175r259n69w1y02mailgmailcom contenttype textplain charsetiso88591 saw version 334 also latest jrip uses fastvector saw running weather nominal data 14 rule two conditions humidity high outlook sunny pruning rule calls fastvectorremoveelementat1 causes size reduced objects still held ie antecedents removed object even though size reduced 1 look vector code public final void removeelementatint index systemarraycopym_objects index 1 m_objects index m_size index 1 m_size like java vector shouldnt index uday next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008020735596c15attachment0001html message 3 date thu 7 feb 2008 232414 0100 budziak g subject wekalist event sequence mining iuxxdkqklistscmswaikatoacnz messageid 84he759213qe889uc498vz9eb3468w90mimectl contenttype textplain charsetiso88591 dear list currently im performing assignment use weka 357 input take data relational database sample table stored mysql database row represents event id user_x event_y time 1 user_1 event_1 t1 2 user_1 event_3 t2 3 user_1 event_10 t3 j user_1 event_1 t_i j1 user_2 event_4 t_i1 n user_a event_3 t_z id unique row user_x user x element set 0 identifying user event_y event element set 0 b identifying event conneting database works fine would like obtain following format userbased bdimensional vectordictionary events position vector space corresponds event holds binary value 0 1 indicating whether event occured duplicates neglected sample table b 7 indicating 7 different events numbered 0 6 might look like id user_x event_y time 1 user_1 event_1 t1 2 user_1 event_3 t2 3 user_1 event_4 t3 4 user_1 event_6 t4 5 user_2 event_5 t5 user_1 0101101 user_2 0000010 hope someone help kind regards guido budziak next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008020766c11535attachment0001html message 4 date fri 8 feb 2008 010915 0000 cristina torres subject wekalist question bug weka machine learning workbench list messageid contenttype textplain charsetiso88591 hello cris new using weka using using weka version 357developer dont know put new filter know modify weka dont know compile entire weka using windows system first using guide classifier example guide weka someone help please thanks lot cris _________________________________________________________________ express instantly msn messenger download today free httpmessengermsnclickurlcomgoonm00200471avedirect01 next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200802088f24cc10attachment0001html message 5 date fri 8 feb 2008 081226 0530 nanda subrat ge research subject wekalist find algorithms explanation weka machine learning workbench list messageid 3lc3x56n1hd3l476v90lx5ynph5zl4p639c3x56nbanmlvem07e2kadgecom contenttype textplain charsetiso88591 hi get handle algorithms basics behind algorithms clustering classification attribute selection etc suggest take good text book help understand fundamentals lots great books available present clear consice picture data mining tools artificial intelligence methodologies machine learning methods implemented weka find listed books could use gaining deeper insights 1 start whitten franks book data mining great one book weka refers also ones han hand topic widely used 2 artificial intelligence russel norvig winston knight charniak widely read authors addition books host materials available internet inthe form tutorials slides papers articles even open source training material useful also handy mit great open source tutorial good universities teaching material posted professors read hope help regards subrat ________________________________ mackmusdhbijzgslistscmswaikatoacnz mailtomackmusdhbijzgslistscmswaikatoacnz behalf andhra loyola college sent thursday february 07 2008 1213 pm iuxxdkqklistscmswaikatoacnz subject wekalist find algorithms explanation dear weka forum gone documentations present source forge could find clear explanation algorithmscan one tell find internet thank u sunanda ________________________________ better friend newshound knowitall yahoo mobile try 2sr8hdtdypao8wcj9tacj next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200802084f9b22c7attachmenthtml _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 60 issue 10 next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments20080208526a6ed6attachmenthtml _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 60 issue 11 tue 05 aug 2008 183615 0500 wekalist digest vol 60 issue 11