🦉🦉   WOOT WOOT!   RAPIDMINER WISDOM 2020 EARLY BIRD REGISTRATION ENDS FRIDAY DEC 13!   REGISTER NOW!   🦉🦉

Number of attributes for tree construction in RandomForest

Legacy UserLegacy User Member Posts: 0 Newbie
edited November 2018 in Help
Hi,

how can I define the number of attributes (the subset of all attributes
in the learning set) randomly chosen to grow the trees in the
forest?

Could you give me an example how to specify that n^1/2
attributes are considered.

Thanks.

Cheers,
Stephan

Answers

  • haddockhaddock Member Posts: 849  Guru
    I guess the answer to the first question is ...

    subset ratio: Ratio of randomly chosen attributes to test (-1: use log(m)
    + 1 features) (real; -1.0-1.0) ( Manual 5.4.53 )

    But I ponder what the answer to the second question would be if there were, say, 5 attributes  ;)
  • Legacy UserLegacy User Member Posts: 0 Newbie
    Thank you for your answer.

    But I still didn't catch what is meant with "(-1: use log(m) + 1 features) ":
    Does it mean that with a total of 'm' attributes the setting of
    subset_ratio=-1.0 yields log(m)+1 attributes used for the test?

    So, what does then the setting 1.0 mean?

    And I still don't see a way to define a specific number of attributes like my square example.
  • haddockhaddock Member Posts: 849  Guru
    Hi Stephan,

    I think that a setting of 1.0 would mean "use all the attributes" and a setting of 0.0 would mean "use none of the attributes", neither of which are of any interest to random foresters, as far as I remember.

    A setting of 0.1 might be more like it, meaning "use a random selection of 10% of the attributes".

    So what does "-1" mean? In general this convention is used to indicate a specific setting that is calculated, rather than part of the selection range, so -0.8 would fuse the system and cause springs to fall out of the back of your machine.

    You see this convention used with quite a number of the operators.

    If I'm wrong no doubt heads more pointy than mine will intervene... :D
  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,706  RM Founder
    Hi,

    If I'm wrong no doubt heads more pointy than mine will intervene...
    no need for that  :D

    Everything was perfectly right.

    All the best,
    Ingo
    RapidMiner Wisdom 2020
    February 11th and 12th 2020 in Boston, MA, USA

Sign In or Register to comment.