A bootstrap is very commonly a random draw with replacement of equal size
to the original sample.
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My question is why the full dataset is being used as default when building
each tree. That's not random forest. The main point of RF is to build each
tree with a subsample of the full dataset
On Sun, May 10, 2020, 09:50 Joel Nothman wrote:
> A bootstrap is very commonly a random draw with replac
Okay, so it's sampling with replacement with same size of the original
dataset. That mean that some of the samples would be repeated for each tree
On Sun, May 10, 2020, 19:40 Fernando Marcos Wittmann <
fernando.wittm...@gmail.com> wrote:
> My question is why the full dataset is being used as defa
Ohh, I can see now my mistake after reviewing the concept of bootstrapping
and sampling with replacement. I was assuming that the "replacement" was
made only after finishing each tree (i.e. If I was samping 2/3 of data, the
very same data could be selected again for each tree, but no element would