Request support for scale_pos_weight() in boost_tree() · Issue #152 · tidymodels/dials · GitHub
Sample_weight vs scale_pos_weight · Issue #2773 · dmlc/xgboost · GitHub
python - How to use "is_unbalance" and "scale_pos_weight" parameters in LightGBM for a binary classification project that is unbalanced (80:20) - Stack Overflow
What is the mechanism of using param 'scale_pos_weight'? · Issue #1299 · microsoft/LightGBM · GitHub
Scale_pos_weight's counterpart for xgboost.train - RFC - XGBoost
10 4 XGBoost scale pos weight - YouTube
xgboost and gridsearchcv in python - Stack Overflow
XGBoost and Imbalanced Classes: Predicting Hotel Cancellations | by Michael Grogan | Towards Data Science
How To Handle Imbalanced Data In XGBoost Using scale_pos_weight In Python | Forecastegy
boosting - XGBoost poor calibration for binary classification on a dataset with high class imbalance - Cross Validated
Hyper parameters for training the Xgboost. | Download Scientific Diagram
How does scale_pos_weight affect probabilities? - XGBoost
Building Models for Predicting Mortality after Myocardial Infarction in Conditions of Unbalanced Classes, Including the Influenc
Fine-Tuning Your XGBoost Model with Key Hyperparameters | by Srishti Sawla | Medium
Balancing classes for highly imbalanced data | by Avani Sharma | Medium
How does scale_pos_weight affect probabilities? - XGBoost
python - How to use "is_unbalance" and "scale_pos_weight" parameters in LightGBM for a binary classification project that is unbalanced (80:20) - Stack Overflow
XGBoost Hyperparameters — Explained | by Aman Gupta | Medium
10 4 XGBoost scale pos weight - YouTube
How To Handle Imbalanced Data In XGBoost Using scale_pos_weight In Python | Forecastegy