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A family of algorithms combining weakly predictive models into a strongly predictive model. The most common approach is called gradient boosting, and the most commonly used weak models are classification/regression trees.
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Regression with same values for dependent variables?
I am performing a regression task on a relatively small dataset (4000 observations). These 4000 observations are grouped in such a way, that if I look at the dependent variable, there are only about 1 …