RFC


About the RFC category (1)
XGBClassifier performs worse than xgboost.train() in Python. What's wrong? (2)
How to interpreter xgboost survival model result with and without output_margin (3)
Plotting tree in XGBoost (2)
Test train_auc scores (2)
Parallel threading with xgboost? (2)
Calculating probabilities with XGBoost - binary:logistic vs custom logloss give different results (4)
How to prescribe a limit to response value according to its physical meaning? (4)
[Feature] Expose TreeShap feature contribution (4)
Learning with xgboost-0.90 vs 1.0.0 (6)
Build with existing libhdfs.a (8)
PR: Add BigDenseMatrix.java - please review (1)
ValueError: Input contains NaN, infinity or a value too large for dtype('float32') (4)
XGBoost on OSX out-of-the-box (2)
Understanding the XGBoost LogisticRegression Gradients (1)
XGBoost objective function (1)
Predict(data, output_margin=True) returns only zero values? (3)
How to use nthread with xgb.cv in python (1)
Evaluating XGBoost Ranking (4)
What is the function to measure the quality of a split? (2)
How fix initial trees without features into get_booster().get_dump()? (3)
Customized cox proportional hazard loss function in xgboost (5)
Feature Level Random Sampling (1)
"Error in stri_detect_regex" when using xgb.importance in R (2)
Shap values not adding up to margin values (6)
Xgboost Spark - pred contribution = True (3)
Native implementation vs. Sci-kit compatible implementation (2)
Confusion about xgboost sklearn api plot_tree() (3)
XGBoost CLI runs extremely slow on 700G data and never parallel (7)
Model does not train on data in external memory (3)