2 Mar 2003 22:44
2 Mar 2003 22:56
Re: remove my name
Richard Kirkby <rkirkby <at> cs.waikato.ac.nz>
2003-03-02 21:56:22 GMT
2003-03-02 21:56:22 GMT
This should be possible through the web interface at http://list.scms.waikato.ac.nz/mailman/listinfo/wekalist (edit options at the bottom of the page). Anyway, you are now removed from the list Yui. Richard -- Yui Hiroaki wrote: > > hi > > how can I remove my address from the weka email list? > > Best Reagards > Yui > > _______________________________________________ > Wekalist mailing list > Wekalist <at> list.scms.waikato.ac.nz > http://list.scms.waikato.ac.nz/mailman/listinfo/wekalist
3 Mar 2003 02:11
Re: Random number seed
Richard Kirkby <rkirkby <at> cs.waikato.ac.nz>
2003-03-03 01:11:57 GMT
2003-03-03 01:11:57 GMT
WEKA makes use of the java.util.Random class to generate the numbers. For details consult the Sun API documentation: http://java.sun.com/j2se/1.4.1/docs/api/java/util/Random.html Richard -- > Shen Lixiang wrote: > > Anyone knows the equations used to generate random number in Weka? > What are the different outputs if different seeds number is chosen? > > Lixiang
4 Mar 2003 08:13
Unclassified instances
Ashraf Khalil <akhalil <at> cs.indiana.edu>
2003-03-04 07:13:03 GMT
2003-03-04 07:13:03 GMT
Hello, I am running Id3 classifier agains a data set that has no missing class values or attribute values but I still get some a number for Unclassified instances in the evaluation results. I wonder why I get unclassified instances while all the data I have (both training and testing data) is without any unclassified instances? Any answer will be appreciated Ashraf
4 Mar 2003 14:56
Re: How to build training and testing files
Kiri Wagstaff <Kiri.Wagstaff <at> jhuapl.edu>
2003-03-04 13:56:32 GMT
2003-03-04 13:56:32 GMT
On Tue, 4 Mar 2003, Liliana Calderon wrote: > We are thinking about two possibilities (we don't know if they are > correct): > (1) In the training file, include data from users whose predictions > won't be made. In the testing file, include the data from users whose > predictions will be made (this will have missing values for the items to > predict, and real values for the items that the user has already rated) This option is the better one. Each item in the training data set should have a value for whatever you are trying to predict (the "class value"), because that is what the classifier uses to learn how to predict. (Unsupervised methods, such as clustering algorithms, are a different story, but that's not what you want for this problem.) In the testing data, each item may or may not have a correct value specified for the class value. If you want to evaluate how accurate your classifier is, you need to have the true class values specified. (The classifier won't use them when making predictions, but they will be used to calculate how accurate the predictions are.) If you don't have true values for the test data, you can still apply the classifier and get predictions, but you won't know how good they are. You may also want to consider using cross-validation. This approach uses only one data set, where all items are labeled. You can decide how many "folds" to use; 10-fold cross validation is common. The evaluator will split the data set into 10 pieces, and then iteratively train the classifier using 9/10 of the data and test it on the 10th (held-out) fold. After doing this 10 times (once for each held-out fold), the evaluator calculates the average accruacy. See weka.classifiers.Evaluation for more(Continue reading)
4 Mar 2003 23:07
JVM
Rusma Mulyadi <rmulyadi <at> email.arizona.edu>
2003-03-04 22:07:51 GMT
2003-03-04 22:07:51 GMT
Hi, I am trying to process a dataset using weka and get an out of memory error message. I then try the command in the tips and tricks (java -mx100000000 -oss100000000 ...), but end up with the error message below! Unrecognized option: -Xoss100000000 Could not create the Java virtual machine. Any ideas on how to solve this? Thanks! Rusma
4 Mar 2003 23:29
Re: JVM
Sugato Basu <sugato <at> cs.utexas.edu>
2003-03-04 22:29:56 GMT
2003-03-04 22:29:56 GMT
Try giving: "java -Xms512M -Xmx1024M <classname>" This would set the initial heap size to 512MB, and the max heapsize to 1024MB. You can change these parameter values according to your machine specifications. -Sugato On Tue, 4 Mar 2003, Rusma Mulyadi wrote: > Hi, > I am trying to process a dataset using weka and get an out of memory > error message. I then try the command in the tips and tricks (java > -mx100000000 -oss100000000 ...), but end up with the error message > below! > > Unrecognized option: -Xoss100000000 > Could not create the Java virtual machine. > > Any ideas on how to solve this? > > Thanks! > Rusma > > > _______________________________________________ > Wekalist mailing list > Wekalist <at> list.scms.waikato.ac.nz > http://list.scms.waikato.ac.nz/mailman/listinfo/wekalist(Continue reading)
4 Mar 2003 23:35
RE: JVM
Rusma Mulyadi <rmulyadi <at> email.arizona.edu>
2003-03-04 22:35:29 GMT
2003-03-04 22:35:29 GMT
Seems to start processing now! Thanks alot! Rusma -----Original Message----- From: Sugato Basu [mailto:sugato <at> cs.utexas.edu] Sent: Tuesday, March 04, 2003 3:30 PM To: Rusma Mulyadi Cc: wekalist <at> orc.cs.waikato.ac.nz Subject: Re: [Wekalist] JVM Try giving: "java -Xms512M -Xmx1024M <classname>" This would set the initial heap size to 512MB, and the max heapsize to 1024MB. You can change these parameter values according to your machine specifications. -Sugato On Tue, 4 Mar 2003, Rusma Mulyadi wrote: > Hi, > I am trying to process a dataset using weka and get an out of memory > error message. I then try the command in the tips and tricks (java > -mx100000000 -oss100000000 ...), but end up with the error message > below! > > Unrecognized option: -Xoss100000000 > Could not create the Java virtual machine. >(Continue reading)
4 Mar 2003 23:37
Re: JVM
Kiri Wagstaff <Kiri.Wagstaff <at> jhuapl.edu>
2003-03-04 22:37:18 GMT
2003-03-04 22:37:18 GMT
On Tue, 4 Mar 2003, Rusma Mulyadi wrote: > I am trying to process a dataset using weka and get an out of memory > error message. I then try the command in the tips and tricks (java > -mx100000000 -oss100000000 ...), but end up with the error message > below! > Unrecognized option: -Xoss100000000 > Could not create the Java virtual machine. > Any ideas on how to solve this? Two ideas: 1. According to my java distribution (under Windows), the options should be formatted as -Xmx100000000 -Xss100000000. Try that. 2. Does your machine have 95 megabytes of RAM free? Although you're specifying a *maximum* heap size (mx), you're specifying a *fixed* stack size (ss) of just over 95 MB. If you're using the correct syntax, try lowering the stack size (or skipping that option). (Most of the Java and Weka memory usage should be off the heap, anyway.) Kiri -- Kiri L. Wagstaff, Ph.D. (kiri.wagstaff <at> jhuapl.edu) \|/ Science Applications Group, Space Department -O- The Johns Hopkins University Applied Physics Lab /|\
5 Mar 2003 13:06
Graphic represenation of decision trees.
Susan Frame <sjf <at> csd.abdn.ac.uk>
2003-03-05 12:06:49 GMT
2003-03-05 12:06:49 GMT
Hi, I am applying ID3 to a medical data set and was wondering if there is a way to get Weka to output the results of the ID3 algorithm graphically so that the Specialist can interpret the results easily? Thanks, Susan
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