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Great programme, really user friendly.
I would like to ask for/suggest the following adding:
1) reverse binomial regression
2) BARP (Bayesian additive regression trees (BART) when combined with po…
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:red_circle: **Title** : Customer Churn Prediction Model
:red_circle: **Aim** :
The primary aim of this project is to develop a predictive model that identifies customers who are likely to churn (s…
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Hi,
I am a new user of Catboost and I was wondering if it is possible to implement model tree in catboost (or in gradient boosting regression trees in general).
My feeling is that by using linear …
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We have recently started testing julia 1.11 in our projects [Trixi.jl](https://github.com/trixi-framework/Trixi.jl) and [TrixiParticles.jl](https://github.com/trixi-framework/TrixiParticles.jl). We ob…
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Problem Description:
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related att…
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Here is an outline with a todo list for various sections. Please edit as needed and update status. They can be checked off if they are mostly there, as I'm sure we will tinker until the course starts.…
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### Pimcore version
11.3.1
### Steps to reproduce
After copying a document, the title, name and attributes are missing:
### Actual Behavior
If I want to copy several or individual doc…
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default methods to find linear combos of predictors in classification and regression trees
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I was planning on doing boosted regression trees with random effects and using the package mvtboost to achieve this. Why was it removed from CRAN?
If I use a former version, is it reliable?
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** types. of algorithms.
1. Linear discriminant analysis
2. Regression
3. Naive Bayes
4. Support vector machines
5. Classification and regression trees
6. Random forests
7. Boosting
etc.