Hello, I can not seem to find any information regarding the results
which are produced by Weka after a cross-validation. Assuming
10-fold cv, how does Weka produce the confusion matrix. Is it
based on the results of the best fold, the last fold, or averaged in
some weird and wonderful way?
Also but less importantly, is it possible to capture the model/s that
are produced during cross-validation?
I am a student of Associateship in Documetation and Information Science,which is equivalent to MLISc,offered by Documetation Research and Training Centre,Indian Statistical Institute.
In this i am doing a project on use of data mining software for mining data from bibliographic databases. I have installed the windows version of the software and am experimenting on it.
The problem is suppose i make a database of all the users and their subject preferences depending on their occupations and age.Then I use this a training file for the software,now if I want to predict the subject preferences of some other users, then how can I use it.
the documetation of the software is very clear regarding the format of the input file but there are many confusions regarding its use for taking outputs which will predict the particular desired attributes.
i will be very much thankful if i can get guidance in this regard from any of you and as soon as possible.
Thanking in advance,
Dear Dr. Malik Yousef:
I am a student in RPI. I am doing research in one-class SVM and very
interested in your PhD thesis. If possible, can you send me a copy your PHD
Thank you so much!
I am fairly new to this, but I suggest increasing the memory allocated to
the java virtual machine as follows:
Sets the maximum size of the memory allocation pool (the garbage
collected heap) to x. The default is 16 megabytes of memory. x must be
greater than or equal to 1000 bytes. The maximum memory size must be greater
than or equal to the startup memory size (specified with the -ms option,
default 16 megabytes).
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Hi Rasha shaker,
Accidentally hit the send button last time.
If you want to know more about jar you can find out about other available
flags by typing:
jar ? (Windows/Linux)
Again, I assume that your classpath has been set up.
To extract a file from your jar file, you simply type the following in the
command line prompt:
jar xf <file name>
and the file will unjar in the current directory, provided that you've set
up your classpath correctly. If you haven't set up your classpath then
you have to specify the path of "jar" explicitly.
If you want to know more about jar then type: