Tagged Questions
3
votes
1answer
136 views
How does extreme random forest differ from random forest?
Are they more efficient implementation -- is the difference important from practical point of view, there is R package which implements them. Is it new algorithm which overcomes "generic" ...
-1
votes
1answer
105 views
Random forest like procedure for regression or other statistical models
I'm wondering if there exist methods similar to one used in random forest algorithm - I mean taking simultaneously bootstrap sample and random subset of features, then building statistisal model. Have ...
2
votes
2answers
1k views
Do Random Forests exhibit prediction bias?
I think this is a straightforward question, although the reasoning behind why or why not may not be. The reason I ask is that I have recently written my own implementation of a RF and although it ...
4
votes
1answer
1k views
How should decision tree splits be implemented when predicting continuous variables?
I'm actually writing an implementation of Random Forests but I believe the question is specific to decision trees (independent of RFs).
So the context is that I'm creating a node in a decision tree ...
18
votes
4answers
3k views
Implementations of the Random Forest algorithm
I have noticed that there are a few implementations of random forest such as ALGLIB, Waffles and some R packages like 'randomForest'. Can anybody tell me whether these libraries are highly optimized? ...
9
votes
2answers
1k views
How does random forest generate the random forest
I am not an expert of random forest but I clearly understand that the key issue with random forest is the (random) tree generation. Can you explain me how the trees are generated? (i.e. What is the ...
