Hi

first you take a decision that how many of all data is test and how many of them is test! of course you can use -v in libsvm and work with n-fold cross validation!

The format of training and testing data file is:

----------------------------------

: : ...

.

.

.

---------------------------------

Hi

first you take a decision that how many of all data is test and how many of them is test! of course you can use -v in libsvm and work with n-fold cross validation!

The format of training and testing data file is:

----------------------------------

: : ...

.

.

.

---------------------------------

thank you Mr.Meysam.But can you elaborate it n give a real example.

Assume you have a feature set for a single object like:

010

011

001

You want to convert it to a training data in libsvm format. First of all, you should convert it to linear format like this:

010011001

Then you should add the class label to it. Assume the class for this data is +1:

+1 010011001

Now data should be represented in : format:

+1 0:0  1:1  2:0  3:0  4:1  5:1  6:0  7:0  8:1

You can omit 0 values:

+1 1:1  4:1  5:1  8:1

This is just for one single object. Finally you should create a file with each object's feature in separated lines.

Some sample train/test data:

http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html

Thank you Mr.Mohsen Biglari. Each file should conatin exactly one object's features individually or the training/testing file would contain all the objects features but separated via lines?

training/testing files are separated.

thank you il try

Try reading:

https://sites.google.com/site/kittipat/libsvm_matlab

You need to divide your data into training subset and testing subset which mean you must to use two files; one for the training subset and the other for the testing subset. The most common way to divide your data into training subset and testing subset is by using k-fold cross validation with usually k = 5.

Good luck :)

thank you,il try

@Hiba - How do we go about to split the sparse data into training and testing splits? Could you please display the code for doing so?

Anyone know how can i train data from a .mat file?

https://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf