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Cover. The number of times a feature is used to split the data across all trees weighted by the number of training data points that go through those splits.
Weight. The number of times a feature is used to split the data across all trees.
rees help us to…bsequent trees help us to classify observations that are not well classified by the previous trees. Predictions of the final ensemble model is therefore the weighted sum of the predictions made by the previous tree models.