About this document
AI Classifier Performance Evaluation Report by davidcampbell8477 is a document available to read on EtoBox.
The AI asset classification model, evaluated using July and August datasets, categorizes systems into four types with an overall accuracy of 74%. It shows high precision for servers and networks, and strong recall for databases and workstations, indicating effective performance across asset categories. Next steps include enhancing feature engineering, fine-tuning the model, monitoring for drift, and deploying a pilot for production rollout.
- Author
- davidcampbell8477
- Language
- EN