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🌈 SmartKNN vừa công bố benchmark hồi quy trên tập dữ liệu lớn với chiều cao (high-dimensional). Kết quả nổi bật:
- So sánh hiệu năng với XGBoost/LightGBM/CatBoost
- Tập trung vào độ trễ p95 (tail latency) - yếu tố quan trọng trong hệ thống thực tế
- SmartKNN cho thấy khả năng cạnh tranh về độ trễ đuôi khi duy trì hành vi dựa trên instance
- R² cao tới 0.9255 trên tập Twitter dataset

Khuyến khích cộng đồng kiểm chứng và đóng góp kết quả!

#MachineLearning #KNN #Regression #Benchmark #HighDimens

Interestingly a simple kWh/HDD regression for our full electricity imports fits reasonably well R^2>0.75) and gives a total year prediction close to that of our electricity supplier #Ecotricity partly because almost all imports are in winter for space heat...

https://www.earth.org.uk/heat-pump-16WW-control.html#2025-02-23

#grid #heatPump #regression #HDD #heatingDegreeDays

Gỡ lỗi regressions dễ dàng hơn với KDiff của Kavia. Công cụ này giúp so sánh các nhánh code và tự động tạo bản tóm tắt phân tích. Một video demo ngắn sẽ hướng dẫn bạn từng bước.

#DevTools #Debugging #Tutorial #KDiff #Kavia #Regression #CôngCụLậpTrình #GỡLỗi #HướngDẫn #LậpTrình

https://dev.to/kavita_kavia/running-regression-analysis-with-kdiff-step-by-step-demo-2nkp

Oh, that's the Linux kernel regression I am experiencing:

https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1123046

#linux #kernel #amdgpu #regression #debian

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Présentation " Mon petit carnet "
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Symbolic Regression was initially developed in the 70's and reshaped in the early '90s by John Koza. Its innovation is that instead of fitting the parameters of a predefined equation (model) to the data, the algorithm creates the equation itself, from scratch.

To do so, symbolic regression in its most recent variants uses genetic algorithms to traverse a vast search space of candidate equations. This results in models that can be very complex yet interpretable, potentially uncovering complex relationships that may contribute to new scientific discoveries.

Despite the inherent limitations of efficiently searching such vast spaces, experiments have yielded very promising results in rediscovering complex, previously known mathematical equations.

GPU acceleration and more sophisticated search strategies have further expanded the capabilities of this method.

Link to the Python PySR package
https://pypi.org/project/pysr/

Wikipedia article:
https://en.wikipedia.org/wiki/Symbolic_regression

#datascience #ml #ai #python #rstats #regression #symbolicregression