# SageMaker Debugger interactive report for XGBoost
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**Note**  
Amazon SageMaker Debugger is no longer open to new customers. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Debugger, but we do not plan to introduce new features. For more information, see [Debugger availability change](debugger-availability-change.md). 

Receive training reports autogenerated by Debugger. The Debugger reports provide insights into your training jobs and suggest recommendations to improve your model performance. For SageMaker AI XGBoost training jobs, use the Debugger [CreateXgboostReport](debugger-built-in-rules.md#create-xgboost-report) rule to receive a comprehensive training report of the training progress and results. Following this guide, specify the [CreateXgboostReport](debugger-built-in-rules.md#create-xgboost-report) rule while constructing an XGBoost ModelTrainer, download the report using the [Amazon SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable) or the Amazon S3 console, and gain insights into the training results.

**Note**  
You can download a Debugger reports while your training job is running or after the job has finished. During training, Debugger concurrently updates the report reflecting the current rules' evaluation status. You can download a complete Debugger report only after the training job has completed.

**Important**  
In the report, plots and recommendations are provided for informational purposes and are not definitive. You are responsible for making your own independent assessment of the information.

**Topics**
+ [Construct a SageMaker AI XGBoost ModelTrainer with the Debugger XGBoost Report rule](debugger-training-xgboost-report-estimator.md)
+ [Download the Debugger XGBoost training report](debugger-training-xgboost-report-download.md)
+ [Debugger XGBoost training report walkthrough](debugger-training-xgboost-report-walkthrough.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).