Search results with tag "Regression trees"
BART: Bayesian Additive Regression Trees
www-stat.wharton.upenn.eduditive Regression Trees) which uses a sum of trees to model or approximate f(x) = E(Y j x). The essential idea is to elaborate the sum-of-trees model (2) by imposing a prior that regularizes the flt by keeping the individual tree efiects small. In efiect, the gj’s become a dimensionally adaptive random basis of \weak
Tree Based Methods: Regression Trees
www2.stat.duke.eduBasicsofDecision(Predictions)Trees I Thegeneralideaisthatwewillsegmentthepredictorspace intoanumberofsimpleregions. I Inordertomakeapredictionforagivenobservation,we ...
Introduction to boosted decision trees - INDICO-FNAL (Indico)
indico.fnal.govDecision/regression trees Learning: Each split at a node is chosen to maximize information gain or minimize entropy Information gain is the difference in entropy before and after the potential split Entropy is max for a 50/50 split and min for a 1/0 split The splits are created recursively