# Changelog ### \[1.0.1] - 2025-11-03 Updated the Agent Output. ### \[1.0.0] - 2025-09-30 #### Initial Release First release of Classification Optimizer! This version provides comprehensive analysis of your Purview classification effectiveness with data-driven recommendations for improvement. **What's included:** * SIT baseline metrics showing detection frequency and distribution * Co-occurrence pattern analysis with statistical metrics (support, lift, conditional probability) * New composite SIT recommendations based on real-world detection patterns * Parameter tuning suggestions to reduce false positives and improve accuracy * Trainable classifier candidates for complex, context-dependent patterns * Policy optimization recommendations (scoping, grouping, rule tuning) * Configurable analysis modes (quick, standard, deep) to balance speed vs detail * Debug mode with detailed execution logs and skill outputs * Integration with Security Copilot for natural language queries --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://agents.glueckkanja.com/agents/classification-optimizer/changelog.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.