Renu Kumar | 27 May 13:13 2015
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One ensemble method in another

Hi,

I am using stacking (ensemble method). 

As we need to mention a stack of learners in stacking & a meta-classifier. 

I was wondering if I can use another ensemble method (say bagging) as one of the learners in the stack?

Does this make sense? will this improve the performance of the classifier?


Regards
Renu
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lmsasu | 27 May 11:30 2015
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Maximum amount of memory in Weka

Hell all,

From your experience/knowledge, which are some upper limits of the datasets
that can be used learned in non-updateable classifiers in Weka? Suppose one
uses x64 VM and tweaks the -Xmx option. 

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Ein Berliner | 27 May 00:34 2015
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ClassBalancer vs. CostSensitiveClassifier

Hello!

Just a quick question I came across with. Given a dataset with a
Positive/Negative Ratio of 10, is using the ClassBalancer filter prior to a
classifier (let's say SMO) equivalent to using CostSensitiveClassifier with
a cost of 10:1?

Thank you in advance!

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Miles Tjandrawidjaja | 26 May 22:23 2015
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Regarding Contributions to the WEKA Project

Hello,

I am planning to use WEKA to better understand data. Currently I build WEKA from source, which I retrieved from a mirror on Github (https://github.com/bnjmn/weka). I was wondering if there is any documentation for the procedure to contribute to the source code. All I have found was information on how to contribute a package (https://weka.wikispaces.com/How+can+I+contribute+to+WEKA%3F). I am hoping that pull requests may be reviewed through Github.

The reason I ask is because initially I tried converting a CSV file to an ARFF file via the command line, and I ran into two issues.
1. A string like the following will produce an error: "This is a "string" with quotes inside quotes".
2. Default memory buffer in rows is set to 100, so when feeding in a CSV file with more than 100 rows WEKA will throw an error without a proper indication why.

These points may not actually be "issues", just need to be properly documented. In the case I make some modification which I believe might be an improvement, I would not mind sharing some of this work. So if the project is open to contributions, feel free to let me know how I might be able to help. Thanks!

Regards,
Miles Tjandrawidjaja
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Jože Bučar | 26 May 18:05 2015
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labelled data sets

Hi.

I'm searching for textual data set in English (or in other languages) that would contain financial, business, economic, etc. content and would be labelled (as positive, negative, neutral (optional)).

Thanks,
Joze
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Jeff Pattillo | 26 May 22:11 2015
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Persisting Filtered Data

Two Questions:

1)  How can I persist filtered data if I am not allowed to store data in a flat file?  For security reasons, my company does not want data to be stored outside of the database.  However, I have a standard set of filters I run every time I build a model, and it would be nice to be able to run these via a script, and save off the results, so I can start from this point each time.

How can this be done directly on the database without saving to a flat file?  I normally run the filters using commands but do the rest via explorer, so I can interact more fully with the data.  Is it possible to do the filters via commands, save the results to the database, and then open up explorer to do the rest?

2)  How developed is the RWeka package?  An advantage of using RWeka no doubt is having access to both the algorithms in R and in WEKA.  What are the downsides to using this package instead of WEKA directly?

Thanks in advance!

Jeff
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Shilbayeh, Samar Ali (PG | 26 May 17:36 2015
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Feature selection wrapper methods


Dear Weka List

What is the different between using WrapperSubSetEval and ClassiferSubSetEval in feature selection , for me they have the same meaning which includes calculate the feature subset merit by using the predictive accuracy of the classifier it self

Many Thanks





Concerns about content should be sent to abuse <at> salford.ac.uk
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Tesnim Almonajed | 26 May 13:28 2015
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weka Instances variable

Hi All,

Can you give us some instructions how to store data  in Instance object. instead of reading from arff file?

Thank you!

Best regards,

Tasnim

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Ralf | 26 May 10:13 2015
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Re: Training set vs Test set in classification

Your question not clear enough, you could contribute more on it.

If your training data, and test data are located in different files, each of them should have same attributes in terms of name and type. In the test file, the class should obtain the value "?". So later the scheme will learn the training data to predict the value "?" in the test data. From your example I can see that your class attribute only has one value (yes) for all the examples. In this case you need to use classifiers that are able to deal with this case.

Wish that helps.
Rlaf

On Tue, May 26, 2015 at 3:49 PM, Syed Shujaat [via WEKA] <[hidden email]> wrote:
I am also confused in the same.

My training data and test data have same attributes yet I am facing the same problem. Can someone be little more specific and detailed in pointing out what wrong I am doing?
Thankstrain.JPGtest.JPG

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Dr. Prateek Srivastava | 25 May 13:53 2015
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How to use Txt dataset in weka

Dear Friends,
Greetings,
I have a query, that i want to add a dataset which is basically a log file (txt file). May anyone please inform me that how to use it.
Best regards,
Dr. Prateek Srivastava


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Ralf | 25 May 16:38 2015
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Re: How to use Txt dataset in weka

Well, you can first transfer these values into an Excel sheet file, then save it as a CSV format. After doing so, you'll be able to load this CSV file into WEKA (WEKA can read files with CSV format). Then you'll be to work on your data.

PS: After loading the CSV file, WEKA allows you to save this file as an ARFF format.

Wish this helps.
Ralf

On Mon, May 25, 2015 at 9:59 PM, Prateek [via WEKA] <[hidden email]> wrote:
Ralf, its very difficult task to put comma (,) between values for such a big file. So kindly suggest me some better option to use those files in weka.

Thanks 

Dr. Prateek Srivastava
(Assistant Professor)
Department of Computer Science and Engineering
School Of Engineering
Sir Padampat Singhania University, Udaipur, Rajasthan, India.
www.spsu.ac.in
(J. K. Cement Nimbahera Foundation)

On Mon, May 25, 2015 at 6:39 PM, Ralf [via WEKA] <[hidden email]> wrote:
Such kind of format it's better to be converted into an ARFF format where WEAK able to deal with easily. To do so, you need to identify your attributes from the one hand, and the class that you need to predict from the other hand. Have a look at this example of the weather dataset where the attributes "outlook, temperature, humidity, windy", and the class attribute is "play":

<at> relation weather

<at> attribute outlook {sunny,overcast,rainy}
<at> attribute temperature numeric
<at> attribute humidity numeric
<at> attribute windy {TRUE,FALSE}
<at> attribute play {yes,no}

<at> data
sunny,85,85,FALSE,no
sunny,80,90,TRUE,no
overcast,83,86,FALSE,yes
rainy,70,96,FALSE,yes
rainy,68,80,FALSE,yes
rainy,65,70,TRUE,no
overcast,64,65,TRUE,yes
sunny,72,95,FALSE,no
sunny,69,70,FALSE,yes
rainy,75,80,FALSE,yes
sunny,75,70,TRUE,yes
overcast,72,90,TRUE,yes
overcast,81,75,FALSE,yes
rainy,71,91,TRUE,no

Wish that helps.
Ralf


On Mon, May 25, 2015 at 8:27 PM, Prateek [via WEKA] <[hidden email]> wrote:
i want to use dataset given at following location:

thanks.

Dr. Prateek Srivastava
(Assistant Professor)
Department of Computer Science and Engineering
School Of Engineering
Sir Padampat Singhania University, Udaipur, Rajasthan, India.
www.spsu.ac.in
(J. K. Cement Nimbahera Foundation)

On Mon, May 25, 2015 at 5:52 PM, Ralf [via WEKA] <[hidden email]> wrote:

Could you give more details about your dataset.

Thanks.
Ralf

On 25 May 2015 20:03, "Prateek [via WEKA]" <[hidden email]> wrote:
Dear Friends,
Greetings,
I have a query, that i want to add a dataset which is basically a log file (txt file). May anyone please inform me that how to use it.
Best regards,
Dr. Prateek Srivastava

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