what is unbalanced data what class is negative when using libsvm when balanced data does negative prediction better how to balance out unbalanced datasets how to balance an unbalanced dataset libsvm is a resampling of what class when evaluating a svm dataset what is the best way to do this? why is my dataset not balanced when to balance the dataset with svm how to handle an unbalanced dataset why is an unbalanced dataset more accurate what is the best way to balance a dataset how to analyze unbalanced data with svm when to do unbalanced data in svm what is the best way of dealing with an unbalanced dataset can a data model be unbalanced? which classes should be balanced out by a svm why is it important to use a balanced dataset how do i balance an unbalanced dataset what is best way to balance a dataset