Machine Learning

[EBAX1]

If anyone has any good ideas for ML we could implement. We have to make sure that we don't try to implement anything that takes too long to run, as it will live update whenever we change factor levels.

• I was thinking a basic classification tree would be good. The user could choose a set of variables and we generate a tree using those. Cross validation might be too computationally intensive and take a while to generate, so it may not be the most accurate thing (I guess CARTS never are though)

[EBAX1]

Tried to incorperate classification trees in CARTS.R, but can't figure out how embed base R plots

[Me222CYX]

Got it to work!