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Random forest is a machine-learning method based on combining the outputs of many decision trees.
9
votes
Accepted
Boosting using other "weak learners" than trees
Trees are often a good choice for new data mining problems with unknown structure. From The Elements of Statistical Learning section 10.7: "Industrial and commercial data mining applications tend to b …
1
vote
Random forest permutation test: Is permutation of the training set appropriate?
To answer your question, it seems the same to me whether you scramble columns in the set you train on or before you pass the test set: Effectively if you scramble before training, the model expects th …