Add changelog entry for inverse metric string label fix (PR #46663) (#46763)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

Author: imatiach-msft

sdk/evaluation/azure-ai-evaluation/CHANGELOG.md

@@ -15,6 +15,7 @@
 ### Bugs Fixed
 
 - Fixed error blame attribution in `_get_single_run_results` to perform a case-insensitive comparison when checking the AOAI error code for `UserError`, ensuring failed evaluation runs are correctly classified as user errors regardless of server-side casing.
+- Fixed `deflection_rate` evaluator showing incorrect pass/fail labels where all results were labeled "pass" regardless of the actual score. The inverse metric adjustment was overriding the evaluator's correct string labels, remapping every result to "pass".
 - Fixed `evaluate()` raising `EvaluationException: (InternalError) unhashable type: 'list'` when an evaluator emitted a list value under a `_result`-suffixed column. Binary aggregation now skips such columns with a warning instead of aborting the entire run.
 - Fixed `task_adherence` red team scoring by adding `scenario=redteam` to the RAI scorer evaluation payload, ensuring the server-side score mapping correctly routes to Direct mapping for attack success determination.
 - Fixed row classification double-counting in `_calculate_aoai_evaluation_summary` where errored rows were counted separately and could also be counted as passed/failed. Rows are now classified into mutually exclusive buckets with priority: passed > failed > errored > skipped.