In the following link the answer recommends a feauture amount of N/3 for regression (or it is quoted).

Where N corresponds to the sample size:

How many features to sample using Random Forests

Is there any paper which quotes this?


Not sure what is meant by a paper. Are you asking if there is mathematical proof that this is the best setting all of the time?

There are some experiments pointed to from here, a text book quote in that answer, and in the link you posted.

The answer is "it depends". You can tune this parameter for your data and problem. Perhaps n/3 is a good place to start and maybe close enough to the optimum that it does not need to be further tuned, compared to the other parameters and the time you have.

  • $\begingroup$ Okay thank you very much. That helps a lot. $\endgroup$
    – qwertzi
    Jan 4 at 10:48

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