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Jan 25 at 19:33 vote accept Kate
Jan 25 at 7:38 comment added Kate @FrankHarrell sorry for not being clear in the post - I pass continuous variable to fit random forest and to identify the important variables. Once important variables are identified, I would like to identify the cut-off for continuous variables since it is valuable for clinicians. So I am not applying the cutoff before fitting random forest
Jan 23 at 16:01 history edited kjetil b halvorsen CC BY-SA 4.0
edited tags
Jan 23 at 15:53 answer added EdM timeline score: 5
Jan 23 at 12:36 comment added Frank Harrell As discussed extensively on this site, cutoffs are bad ideas. They don’t exist in nature because discontinuities don’t exist in nature unless X=time. Since they don’t exist, every analyst will find a different cutoff.
Jan 23 at 9:26 history edited Kate CC BY-SA 4.0
added more information in the post
Jan 23 at 9:20 history edited Kate
changed tag as requested
Jan 20 at 15:04 history reopened Pere
Dave
mdewey
Jan 20 at 13:58 comment added Pere I'm not very familiar with tags (nor with the topic of the question) but I would replace the r tag with classification tag.
Jan 20 at 13:34 comment added Kate @Pere I am using conditional random forest and permimp::permimp for determining the importance of variables for my subgroup analysis . Now, I want to find cut-offs for continuous variables. But there are so many methods so I got lost
Jan 20 at 13:31 comment added Kate @Dave which tag shall I add? Anything except the tag?
Jan 20 at 10:43 comment added Dave The fact that this only has the r tag makes it seem that the question is just looking for some code, which remains off-topic here (not an inherently bad question, just outside the purview of Cross Validated). Perhaps this should be reopened to allow for a statistical response, however, perhaps even one that disputes the utility of the hard cutoffs the OP seems to seek.
Jan 20 at 10:09 review Reopen votes
Jan 20 at 15:04
Jan 20 at 10:09 comment added Pere I don't think the question it's unclear but the OP can't be more specific for lack of specific knowledge. A good answer can pinpoint to the tools used to classify using cut-offs (or sort of), starting linear classification and continuing with random forest. statlearning.com may be a good source to start digging.
Jan 19 at 14:35 history left closed in review Adrian Keister
utobi
whuber
Original close reason(s) were not resolved
Jan 19 at 14:27 comment added Kate Let us continue this discussion in chat.
S Jan 19 at 14:24 review Reopen votes
Jan 19 at 14:35
S Jan 19 at 14:24 history edited Kate CC BY-SA 4.0
updated the question Added to review
Jan 19 at 12:42 comment added Dave Multiple trusted moderators of this community disagree and have put the question on hold (“closed”) until such clarification comes.
Jan 19 at 11:40 comment added Kate @Dave I already have it in my post
Jan 19 at 11:10 comment added Dave Once you clarify the statistical content of your question, we’re all ears.
Jan 19 at 11:05 comment added Kate @Dave I was asking about other methods if you would have read my question properly
Jan 19 at 10:58 history closed Peter Flom
PBulls
User1865345
Not suitable for this site
Jan 19 at 10:52 comment added Dave What about when a feature has more than one split to fit nonlinear behavior? (I think that can happen.) $//$ Maybe it would be best to ask about your ultimate goal once you get these splits. Extracting the splits is a programming question that is considered off-topic here, but there might be a real statistics question beneath it.
Jan 19 at 10:47 review Close votes
Jan 19 at 10:58
Jan 19 at 10:46 comment added Kate @Dave something like the average/median cut-off used within forest?
Jan 19 at 10:35 comment added Dave Wouldn’t there be a different splitting value (cutoff) in every tree in the random forest?
Jan 19 at 10:29 history asked Kate CC BY-SA 4.0