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by sysreader2016
3730 days ago
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I haven't read much about XGBoost boosted trees. Does each tree have additive independence? Is the tree ensemble of two trees better than one tree? It seems like additive training that removes all constants in addition to regularization of model complexity would shape the tree ensemble into a baseline model that defines minimum assumptions. So, what's its success rate in predicting favorable outcomes vs. tree learning focused on heuristic specialization (impurity)? |
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