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Machine Learning

How is random forest different from gradient boosting algorithm?

The fundamental difference is, random forest uses bagging technique to make predictions. GBM uses boosting techniques to make predictions.

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Card 1 of 197. Answer: The fundamental difference is, random forest uses bagging technique to make predictions. GBM uses boosting techniques to make predictions.

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