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)
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