Passing default num_threads to booster.predict not working · Issue #4607 · microsoft/LightGBM · GitHub
Xgboost Lightgbm Catboost Sklearn Gradientboosting Comparision - Notebook by Venu Madhavi Podugu (poduguvenu) | Jovian
![Scaling LightGBM with Dask. LightGBM is an open-source framework… | by ODSC - Open Data Science | Medium Scaling LightGBM with Dask. LightGBM is an open-source framework… | by ODSC - Open Data Science | Medium](https://miro.medium.com/v2/resize:fit:640/0*K-u_dyZSETfgrXIk.png)
Scaling LightGBM with Dask. LightGBM is an open-source framework… | by ODSC - Open Data Science | Medium
![From [31]; false positive rates for XGBoost, CatBoost, and LightGBM as... | Download Scientific Diagram From [31]; false positive rates for XGBoost, CatBoost, and LightGBM as... | Download Scientific Diagram](https://www.researchgate.net/publication/346496325/figure/fig4/AS:963612181012480@1606754455483/From-31-false-positive-rates-for-XGBoost-CatBoost-and-LightGBM-as-number-of-features.png)