Xgboost
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Community About Blog Sponsors Docs Github About XGBoost XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.It implements machine learning algorithms under the Gradient Boosting framework.XGBoost provides a parallel tree boosting…
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XGBoost 3.3.0 Release
We are pleased to announce XGBoost 3.3.0. This release adds expectile regression, enables categorical feature support by default, expands SHAP support for vector-leaf multi-output trees, and includes a broad set of performance and scalability improvements
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How to Use AI to Help Find Civilian Harm
A new machine learning model ranks Telegram posts on their likelihood of containing incidents of civilian harm.
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I Tried to Predict Electricity Prices 7 Days Ahead. Here
121 experiments, 10 major versions, one architectural paradigm shift. Using only public data, I built a system that predicts Spanish electricity prices with 15.73 EUR/MWh error on a volatile 150-day window - and discovered that sometimes the best fix is t
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