Papers › XGBoost: A Scalable Tree Boosting System

XGBoost: A Scalable Tree Boosting System

9 Mar 2016arXiv:1603.02754archive 2025-07-28

Tianqi Chen, Carlos Guestrin

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning. More importantly, we provide insights on cache access patterns, data compression and sharding to build a scalable tree boosting system. By combining these insights, XGBoost scales beyond billions of examples using far fewer resources than existing systems.

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28 repositories listed; official and paper-mentioned ones first.

dmlc/xgboost officialmentioned in papermentioned on GitHub report
360jinrong/GBST mentioned on GitHubApache-2.0 report
Automunge/AutoMunge mentioned on GitHubtfBSD-3-Clause report
Javihaus/Auto-ML-app-with-dash mentioned on GitHubMIT report
MrCat9/Sklearn_Note mentioned on GitHub report
agnesdeng/mixgb mentioned on GitHubGPL-3.0 report
bw2color/bw2color mentioned on GitHubtfMIT report
heartyguy/AI-AngryBird-Eagle-Wing mentioned on GitHubNOASSERTION report
jlanday/Language-Detection mentioned on GitHub report
mtorabirad/PricePrediction mentioned on GitHub report
nsubbaian/FrequentistML mentioned on GitHub report
osofr/xgboost mentioned on GitHubNOASSERTION report
poyushen/classifaction mentioned on GitHub report
tqchen/xgboost mentioned on GitHubNOASSERTION report
xiadanqing/Binary mentioned on GitHub report

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allreduce 360jinrong/GBST/gbst_package/gbst/rabit.py community (archive-listed) unverified Apache-2.0 (permissive) · 56d023d699f86812 · report
broadcast 360jinrong/GBST/gbst_package/gbst/rabit.py community (archive-listed) unverified Apache-2.0 (permissive) · cb6b3b44c71c8b4d · report
ctypes2numpy 360jinrong/GBST/gbst_package/gbst/core.py community (archive-listed) unverified Apache-2.0 (permissive) · dcc420b0c0e4736f · report
evalauc 360jinrong/GBST/gbst_package/gbst/metrics.py community (archive-listed) unverified Apache-2.0 (permissive) · 93ea111e4faa8eb4 · report
from_cstr_to_pystr 360jinrong/GBST/gbst_package/gbst/core.py community (archive-listed) unverified Apache-2.0 (permissive) · f3c98203a82d21f3 · report
from_pystr_to_cstr 360jinrong/GBST/gbst_package/gbst/core.py community (archive-listed) unverified Apache-2.0 (permissive) · b97f869f1e1f317a · report
groups_to_rows 360jinrong/GBST/gbst_package/gbst/training.py community (archive-listed) unverified Apache-2.0 (permissive) · 2283c0485da99f5e · report
loadfmap 360jinrong/GBST/gbst_src/demo/binary_classification/mapfeat.py community (archive-listed) unverified Apache-2.0 (permissive) · a1073934e27565bc · report
loss_with_metrics bw2color/bw2color/colorization/training_utils.py community (archive-listed) unverified MIT (permissive) · 17365dbebfb45226 · report
mkgroupfold 360jinrong/GBST/gbst_package/gbst/training.py community (archive-listed) unverified Apache-2.0 (permissive) · ec4a12f8317bbdd8 · report
plot_importance 360jinrong/GBST/gbst_package/gbst/plotting.py community (archive-listed) unverified Apache-2.0 (permissive) · 02e322ab0e7455f6 · report
plot_tree 360jinrong/GBST/gbst_package/gbst/plotting.py community (archive-listed) unverified Apache-2.0 (permissive) · 9b4357ad647895da · report
print_evaluation 360jinrong/GBST/gbst_package/gbst/callback.py community (archive-listed) unverified Apache-2.0 (permissive) · 2ede4efe489775eb · report
record_evaluation 360jinrong/GBST/gbst_package/gbst/callback.py community (archive-listed) unverified Apache-2.0 (permissive) · da2df451a1ec6956 · report
reset_learning_rate 360jinrong/GBST/gbst_package/gbst/callback.py community (archive-listed) unverified Apache-2.0 (permissive) · c42441cb9c13a0b8 · report
to_graphviz 360jinrong/GBST/gbst_package/gbst/plotting.py community (archive-listed) unverified Apache-2.0 (permissive) · 1495b6370c8c3330 · report
train 360jinrong/GBST/gbst_package/gbst/training.py community (archive-listed) unverified Apache-2.0 (permissive) · 0deb98c24eb53d79 · report

Tasks

BIG-bench Machine LearningClusteringData CompressionDimensionality ReductionGeneral ClassificationHumor DetectionVideo Super-Resolution

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Humor Detection 200k Short Texts for Humor Detection XGBoost F1-score 0.813 #5 of 6 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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