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