Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
XGBoost is an open-source, high-performance machine learning library based on gradient boosting. It helps developers and data scientists build accurate and scalable predictive models for regression, classification, and ranking tasks.
Features of XGBoost:
Show the rest of the publisher’s description (11 more lines)
- Provides efficient implementation of gradient boosting algorithms.
- Supports regression, classification, and ranking problems.
- Handles missing values and categorical features effectively.
- Optimized for performance with parallel and distributed computing.
- Runs on Ubuntu 24.04 using Python virtual environments or pipx for isolation.
To check the version of XGBoost:
$sudo su
$cd /opt
$source /opt/xgboost-env/bin/activate
$python3 -c "import xgboost; print(xgboost.__version__)"
Disclaimer: XGBoost is provided “as is” without warranties of any kind. Users are responsible for ensuring proper configuration, security, performance tuning, and compliance with applicable regulations when deploying machine learning models..
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.