(2018)proposed a bagging-based algorithm that combines theXgboostclassifier (Gradient Boosting Machine) with undersampling to address both data imbalance and noise issues inbinary classificationproblems. To avoid model errors caused by data imbalance, multiple balanced training sets are obtained using ...
Describe the workflow you want to enable / Describe your proposed solution add an base_estimator argument to GradientBoostingRegressor/Classifier and HistGradientBoostingRegressor/Classifier, allowing them to do gradient boosting on any ...
1. **Logistic Regression**:这是最常见的模型,自然支持 `predict_proba` 方法。 2. **Support Vector Machines (SVM)**:通过启用概率估计,可以使用 `predict_proba` 方法。 3. **Random Forest**:随机森林模型可以输出类别概率。 4. **Gradient Boosting Models**(如 XGBoost、LightGBM): - 这些模型通常支...