Model card
XGBoost.
DMLCopen-sourceGradient Boosted Trees
Scalable gradient boosted decision trees. Industry standard for tabular ML.
§ 01 · Benchmarks
Every benchmark XGBoost has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | California Housing | Time Series · Tabular Regression | rmse | 0.5% | #1 | — | source ↗ |
| 02 | OpenML-CC18 | Time Series · Tabular Classification | accuracy | 86.3% | #4 | 2025-06-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for XGBoost.
- 2025-06-01· 1 result
ConTextTab: A Semantics-Aware Tabular In-Context Learner
Marco Spinaci
§ 05 · Sources & freshness
Where these numbers come from.
xgboosting.com reference
1
result
ConTextTab Table 1
1
result
2 of 2 rows marked verified.