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 adding new filterjar generation cristina torres 2 gridregressionpy fatih akay 3 multilayerperceptron results harri mt saarikoski 4 repath variable danilovich yann lmjznprcyynlydlfhotmailcom sun feb 24 102737 2008 message 1 date fri 8 feb 2008 103701 0000 cristina torres subject wekalist adding new filterjar generation weka machine learning workbench list messageid contenttype textplain charsetiso88591 hello finally solve problem compilation weka also introduce new filter filterjava filters folders want create jar document complete weka new filter generate jar file try execute error failed lad main class manifiest atribute somebody knows generate jar file properly cris express instantly msn messenger msn messenger _________________________________________________________________ express instantly msn messenger download today free httpmessengermsnclickurlcomgoonm00200471avedirect01 next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200802089baf78e4attachment0001html kylwi0776yahoocom sun feb 24 102737 2008 message 2 date fri 8 feb 2008 032411 0800 pst fatih akay subject wekalist gridregressionpy weka messageid 641465488qmweb52802mailre2yahoocom contenttype textplain charsetiso88591 markpeter possible integrate gridregressionpy similar tool tool libsvm finding optimized parameters c gamma epsilon weka fatih never miss thing make yahoo homepage next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments20080208a6e646c1attachment0001html greljzktpquktddhelsinkifi sun feb 24 102737 2008 message 3 date fri 8 feb 2008 145843 0200 harri mt saarikoski subject wekalist multilayerperceptron results weka machine learning workbench list messageid 120247552347ac5203bf83dwebmailhelsinkifi contenttype textplain charsetusascii 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 reason behaviour hi likely case overfitting overtraining httpenwikipediaorgwikioverfitting especially cases learning performed long training examples rare learner may adjust specific random features training data causal relation target function overfitting backpropagation neural networks like mlp resulting prediction bias toward onesome target classes caused following misclassified training instances continue misclassified iteration iteration get overweighted actually take weight correctly classified instances ie weights become imbalanced furthermore misclassified instances happen clearly concentrated classes result confusion matrix quoted zero correct instances classes found pattern parameters causes mlp describes parameters follows learningrate amount weights updated momentum momentum applied weights updating decay cause learning rate decrease divide starting learning rate epoch number determine current learning rate may help stop network diverging target output well improve general performance far know offtheshelf formula exists optimizing parameters interchange parameters dataset looking pattern performance consider parameters operate together learning rate momentum decay first two operate controlling speed change latter stopping change ultimately cost function depend task wish perform wiki getting high 85 accuracies configurations suggests optimal training model dataset produced parameters set fast burn iterations would say higher learning rate momentum fast decay work best harri david yst terv best wishes harri saarikoski tue 05 aug 2008 184837 0500 wekalist digest vol 60 issue 12