Increase the number of splitting data on machine learning


Is there any way to increase the result of splitting data in machine learning?
Now, when you split the data in multi metric job, the result has a limit of 50 values(5, 10, 25, 50).
Can we change that?

Thank you in advance!


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This view isn't showing the number of splits for analysis (because in theory there could be hundreds or thousands) - rather this display it is showing the top N (5, 10, 25, or 50) most unusual entities in the timeframe selected.

If you truly want to see anomalies for ALL entities within a timeframe, this information is available via queries to the results index (.ml-anomalies-*) or via the API. The following blog gives some explanation and examples: