Gradient boosting how can accuracy increase when we lower the depth of tree?
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02-11-2019 - |
문제
What I don't understand about gradient boost is, doesn't lowering height of the tree means we use fewer features in our model?
From my model I get the highest accuracy when the depth is one. Meaning there is just root node at my trees, and uses one feature. How can a model that uses one feature gives such accuracy?
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