[DOCS] Augment ML release highlight
@@ -33,12 +33,13 @@ the new File Data Visualizer in {kib}.
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=== Improved {ml} results for partitioned multi-metric jobs
-If you use the +partition_field_name+ parameter in a {ml} job (or the
+If you use the +partition_field_name+ or +by_field_name+ parameters in a {ml} job (or the
*Split Data* field in the {kib} multi-metric job wizard), it generates many
simultaneous analyses that are modeled independently. In 6.5, we have decreased
the influence of the anomaly scores in each partition on other partitions' scores.
-The overall effect of the change is to produce a much wider range of scores in
-partitioned multi-metric jobs.
+As a result, record- and influencer-level results produce a much wider range of scores,
+but the overall anomaly score still uses sophisticated aggregation to ensure rate-limited
+alerts for the job.
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=== Find multi-bucket anomalies in {ml} jobs
