Further how we use these variable to train the model in libsvm.?
Kindly elaborate in clear and simple way and provide relevant links
Thanks!
weights will give the importance of each feature.
randomizing (such as in random forest) will reduce overfitting in tree ensemble.
but how we use these parameters in libsvm ?
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