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**Is your feature request related to a problem? Please describe.**
I wish I could use cuml to obtain individual tree results of a random forest. However, this function is not supported in the current …
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Hi,
I came across the [paper](https://www.mdpi.com/1099-4300/22/5/545) _Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case_. Basically, the authors p…
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### Describe the bug
It is known that random forrest regression (as well as many decision tree-based methods) are not affected by the scale of the data and don't require any scaling in the feature …
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@tdhock,
The existing interval regression models include AFT, linear, and decision tree methods. While it may seem like a straightforward approach, would it be feasible to write a paper exploring the…
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Experiment and Implement classification models -
1. Decision Tree
2. Random Forest
3. Logistic Regression
4. Naive Bayes models.
Evaluate and compare models on metrics (accuracy, precision, …
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## Feature
I regularly use multitarget regression from rfsrc. Would love to have a multioutput random forest implementation in tidymodels.
rfsrc(Multivar(y1, y2, ..., yd) ~ . , my.data, ...)
ht…
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Now there is random forest classification in framework. I want to propose add also random forest regression
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**Is your feature request related to a problem? Please describe.**
Honest sampling in forests was first outlined by Breiman et al. 1984 in Classification and Regression Forests, in which it was sug…
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I propose adding an e-commerce sales prediction model to ML Nexus. This model will utilize historical sales data, marketing spend, customer behavior, and seasonal trends to forecast future sales. It w…
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In this, we will convert a time series problem to a supervised machine learning problem to predict driver demand. Exploratory analysis has to be performed on the time series to identify patterns. A re…