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I am currently exploring the application of XGBoost in medical diagnostics, specifically in the initial screening diagnosis of glaucoma using structured real medical data. I came across this project a…
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Hey DCP participants, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about XGBoost. Tutorial to XGBoost and how it's applied using sample code…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Extreme Gradient Boosting (XGBoost) is a powerful machine learning algorithm that uses gra…
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The use of Gradient Boosting Machines algorithms ( XGBoost) or Neural Networks can enhance the performance of the model .
Please assign me ,to work on this issue.
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## Team name:
KCL Quantum
## Team members:
Avner Bensoussan
Elena Chachkarova
Karine Even-Mendoza
Sophie Fortz
Connor Lenihan
## Project Description:
The provided algorithm optimise…
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I want to add this project to this repository.This problem statement is basically a multiclassification problem statement.I will use different ml algorithms like Naivebyes,RandomForest,Xgboost,Decisio…
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Right now, it's `None`. Change to another option.
Feature importance attribute: https://xgboost.readthedocs.io/en/stable/python/python_api.html#xgboost.dask.DaskXGBClassifier.feature_importances_
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**Describe the bug**
The qualification output's html files show speedup numbers based on `SPEEDUPS` algorithm even if `--estimation model` is set to XGBOOST
**Steps/Code to reproduce bug**
Run…
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**Describe the use case example you want to see**
A SageMaker Pipeline to train, evaluate, and register a model using one (or more?) of the new JumpStart-based [built-in algorithms for tabular data…
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First of all thanks for such a great library and your continuous support. I am working on predictions with uncertainty using the NGBoost Regressor and want to improve the accuracy of predictions. My a…