Hello, When I plot or look at the error rate vector for a random forest (rf$err.rate) it looks like a descending function except for a few first points of the vector with error rates values lower(sometimes much lower) than the general level of error rates for a forest with such number of trees when the error rates stop descending. Does it mean that there is a tree(s) (that is built the first in the forest) that has a higher predictive accuracy than the whole forest of trees?
One more minor question. Is there a way to "snip" the forest of 100 trees to, say, 50 trees? Thanks, Vladimir ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
