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Random forest is a machine learning ensemble method based on choosing random subsets of observations and variables for each of many decision trees.
2
votes
1
answer
3k
views
What is the difference between RandomForestClassifier and XGBRFClassifier?
What is the difference between RandomForestClassifier and XGBRFClassifier?
There is no detailed explanation about what XGBRFClassifier exactly is so I was wondering.
6
votes
3
answers
3k
views
Regression vs Random Forest - Combination of features
I had a discussion with a friend and we were talking about the advantages of random forest over linear regression.
At some point, my friend said that one of the advantages of the random forest over t …
6
votes
2
answers
15k
views
Xgboost performs significantly worse than Random Forest
I have a dataset of 3500 observations x 70 features which is my training set and I also have a dataset of 600 observations x 70 features which is the test set.
The target is to classify observations …