hamid9

4 ms·

1. 1.▲
   LinearBoost: Faster and more accurate than XGBoost and LightGBM on 7 famous data(github.com)

   1 points by hamid9 2y ago|1 comments
2. 2.▲
   by hamid9 2y ago

   The latest version of LinearBoost classifier is released! https://github.com/LinearBoost/linearboost-classifier In benchmarks on 7 well-known datasets (Breast Cancer Wisconsin, Heart Disease, Pima Indians Diabetes Data
3. 3.▲
   by hamid9 2y ago

   Thank you for bringing up this issue! Our plan is to release the paper in a month, but let's see how it goes. Feel free to reach out to me if you have any questions!
4. 4.▲
   by hamid9 2y ago

   Thank you for your message and pointing it out! I think it needs some clarification (I will update the documentations as well). The classification algorithm that you mentioned is SEFR, which is energy-efficient, but not as accurate as other
5. 5.▲
   Our classifier outperforms CatBoost, XGBoost, LightGBM on 5 benchmark datasets(github.com)

   6 points by hamid9 2y ago|5 comments
6. 6.▲
   by hamid9 2y ago

   Hi All! We're happy to share LinearBoost, our latest development in machine learning classification algorithms. LinearBoost is based on boosting a linear classifier to significantly enhance performance. Our testing shows it outperforms