# SageMaker Debugger interactive report for XGBoost
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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 estimator, 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 estimator 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)