Periodicity detection accuracy is very low

[tappanajmera]

System Information (please complete the following information):

• OS & Version: Windows 11
• ML.NET Version: [e.g. ML.NET v1.5.5]
• .NET Version: [e.g. .NET 5.0]

Description
This is probably a question and not a bug.
We tested periodicity detection from ML .Net and compared against other approaches. The accuracy is very low.

Accuracy selected means "accuracy on those where it gave an answer". So ML.NET gives a periodicity only on 28% of cases, and on those 28% it's 85% accurate. Kusto gives an answer on 94% of cases, and is 78% accurate on that.

Is this expected behavior?

[LittleLittleCloud]

Which trainer are you using

[amueller]

We're using https://learn.microsoft.com/en-us/dotnet/api/microsoft.ml.timeseriescatalog.detectseasonality?view=ml-dotnet if that was the question.

[ericstj]

@michaelgsharp @luisquintanilla do you have any suggestions here? Do we have a sample that shows how to use this?

[michaelgsharp]

We do have a sample, its here.
@amueller Is the data you are using for testing public so that we could take a look at it ourselves?

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