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Hi,
First of all thank you for the package! In "Fitting Prediction Rule Ensembles with R Package pre" I noticed that it should be possible to use random forest for rule induction by setting mtry and …
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Hello, I'm trying to figure out if I can pass the entire dataset to the rpart user split functions - I need to do splits that use multiple variables. Based on the input arguments and the structure of …
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When I run decision_tree() with the "rpart" engine, I see that the results of the tune() function's concordance index and also the calculation on a test sample give results less than 0.5, when I expec…
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Implement an rpart model to include in the ensemble learning. Such a model could be particularly useful when there is a breakpoint in the time series (i.e. units change or a country's production/yiel…
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Hello, I am trying to use my own metric to define splits. The y variable is no continuous neither categorical. It is an object created, and it is a list with two vectors with `vctrs::new_vctr.` I get …
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For information purposes add `Target: rain_tomorrow` just after the `Model Builder: rpart` information text.
![Image](https://github.com/user-attachments/assets/79c8da73-0eab-4cff-8950-81a9f6f78f36)
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Thanks a lot for implementing PPS in R.
The decision tree of sklearn is not set with the same option than R. As sklearn default parameters are so small, I think sklearn's trees are much finer than …
SamGG updated
3 years ago
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pages 11/12 of the rpart vignette covers this topic.
https://cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf
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From: lg21c ***@***.***>
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A-Pai updated
3 months ago
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Running the code below using mlr3proba and mlr3pipelines and mlr3filters packages of R to implement rpart algorithm on a preporcessed dataset and performing "variable importance", shows an error:
``…
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Follow up with Max on which package this is. :)