Dear colleagues,
Hopefully, you will be able to help me. I tried to use a decision tree procedure withing snowCluster block, but received very confusing results. The first node is invariably dichotomised at negative values, although there are no negative values in my dataset at all. I have tried to perform this procedure with the Iris dataset, and again there were negative values at the first node (see figure attched). Could you please advise me what might have been a matter and what is the solution? Thank you in advance.
Confusing results with decision tree
Confusing results with decision tree
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- This is how a Decision tree looks like
- Iris.png (68.56 KiB) Viewed 488 times
Re: Confusing results with decision tree
Hi
That's because I've standardized the variables. However, I found that it is not necessary to standardize data in decision tree analysis in literature review., so I will update it in the next version.
Best Regards
Seol
That's because I've standardized the variables. However, I found that it is not necessary to standardize data in decision tree analysis in literature review., so I will update it in the next version.
Best Regards
Seol
Re: Confusing results with decision tree
Hi Seol,
Thank you for your explanation. Now I will be looking very much forward to getting and update version of this module.
With kindest regards,
Igor
Thank you for your explanation. Now I will be looking very much forward to getting and update version of this module.
With kindest regards,
Igor
Re: Confusing results with decision tree
Hi
Update snowCluster module in jamovi library now.
Best Regards
Seol
Update snowCluster module in jamovi library now.
Best Regards
Seol
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