# Model Maintenance

## Articles

### [Evaluating Model Training Results](https://help.hyperscience.ai/v42/docs/evaluating-model-training-results)
- Published on Sep 24, 2025  
Using features for Semi-structured documents. This article mentions features used in the processing of Semi-structured documents. Your access to those features depends on your license package and pricing plan.

### [Monitoring Model Performance](https://help.hyperscience.ai/v42/docs/monitoring-model-performance)
- Published on Sep 24, 2025  
Using features for Semi-structured documents. This article mentions features used in the processing of Semi-structured documents. Your access to those features depends on your license package and pricing plan.

### [Improving Model Performance](https://help.hyperscience.ai/v42/docs/improving-model-performance)
- Updated on Sep 29, 2025  
- Published on Jul 10, 2025  
After identifying a drop in the model’s performance, the next step is to determine its root cause and address it accordingly. This article explains how to use Training Data Management (TDM) to investigate performance issues and improve your model.

### [Model Mitigation and Saturation](https://help.hyperscience.ai/v42/docs/model-mitigation-and-saturation)
- Published on Sep 24, 2025  
This article is intended for users who continue to experience poor model performance even after completing the initial monitoring and retraining steps. Before using the guidance in this article, make sure you’ve completed the following: You’ve identified the issues.