I have used 60 % data as training data and 40% data as test data. Exactly same instances of data are fed to SVM RBF kernel in Python and SVM Gaussian in MatLab. But the results of prediction in MatLab are horrible, all the data is belonging to the 5th class where I am getting 99% accuracy with good class-specific accuracies in Python. Please tell me where is the problem.


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