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Additional
Gradient boosting
English Wikipedia - The Free Encyclopedia
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Gradient boosting
Gradient boosting
is a
machine learning
technique for
regression
and
classification
problems, which produces a prediction model in the form of an
ensemble
of weak prediction models, typically
decision tree
s. It builds the model in a stage-wise fashion like other
boosting
methods do, and it generalizes them by allowing optimization of an arbitrary
differentiable
loss function
.
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