r - difference between sampsize and classwt random forest -


can 1 explain difference between sampsize , classwt in random forest part of r package. there relation between 2 parameters (assuming problem classification problem)

thanks

sampsize represents sample size of drawn. so, sampsize = 10 mean 10 samples drawn. classwt weighting of classes. can used weighted random forest. example, can use weight more recent data opposed older data (see here). having said that, downsampling (which reducing sample size), seemingly effective weighting classes (see here), can, needn't use both.


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