Data Science III with python (Class notes) - 9 XGBoost
unbalanced classes - Calibration curve of XGBoost for binary classification - Cross Validated
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
How To Handle Imbalanced Data In XGBoost Using scale_pos_weight In Python | Forecastegy
Sample_weight vs scale_pos_weight · Issue #2773 · dmlc/xgboost · GitHub
XGBoost Parameters — xgboost 2.0.3 documentation
How to Configure XGBoost for Imbalanced Classification - MachineLearningMastery.com
Why is XGBoost for classification predicting probabilities, that when averaged, the average value is much larger than the mean (target)? - Quora
machine learning - How do scale_pos_weight and sample_weight interact in XGBoost? - Cross Validated
Building Models for Predicting Mortality after Myocardial Infarction in Conditions of Unbalanced Classes, Including the Influenc
machine learning - How do scale_pos_weight and sample_weight interact in XGBoost? - Cross Validated