Lesser predictors can actually help in ensembles, so long as their errors aren't... | Hacker News

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robrenaud on July 18, 2017 | parent | context | favorite | on: Yandex open sources CatBoost, a gradient boosting ...

Lesser predictors can actually help in ensembles, so long as their errors aren't highly correlated with the better predictors.

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