I am going to classify multispectral remote sensing image using SVM .
4 views (last 30 days)
Show older comments
Priyanka Athawale
on 11 Apr 2014
Commented: Vijaya pardha saradhi Tummala
on 9 May 2018
I have written a code for classifying three crops using SVM training , The three crops are cotton ,wheat and gram. Now to get more accuracy I want to optimize the training data using genetic algorithm then I wish to train the optimized data using SVM train and then want the classification result . First want to compare the result with simple SVM algorithm , I am attaching the codes here please help me to correct that code so that i could get the better kappa coefficient .ore if u suggest some other parameters of comparison of two techniques . One more thing is please suggest me how to use kernels in SVMtrain instruction ..!
2 Comments
Vijaya pardha saradhi Tummala
on 9 May 2018
find kappa function is not available can you please update!
Accepted Answer
Shashank Prasanna
on 11 Apr 2014
The following section in the documentation shows how you can use cross validation to tune your svm parameters using optimization:
Go through the examples and how-to's in this link, that should answer most of your questions:
More Answers (0)
See Also
Categories
Find more on Genetic Algorithm in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!