Vladimir N. Kutinsky
kutinskyv at obninsk.com
Wed Aug 20 10:42:57 CEST 2003
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?
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