GitHub

mwburke/xgboost-python-deploy

You can install this from pip using pip install xgboost-deploy. The current version is 0.0.2. It was tested on python 3.6 and and XGBoost 0.8.1. The typical way of ...
GitHub

xgboost python and R outputs differ when sampling hyperparameters are introduced

I get identical predicted probabilities from xgboost classifiers trained on same data and same hyperparameters on R and Python. However, when sampling related ...
syncedreview

Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?

Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...
Frontiers

Ultrasound-based radiomics XGBoost model to assess the risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual application of SHAP

Objectives: A radiomics-based explainable eXtreme Gradient Boosting (XGBoost) model was developed to predict central cervical lymph node metastasis (CCLNM) in patients with papillary thyroid carcinoma ...