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Can someone explain when it is better to use AutoML and when it is better to use cross validation?
It looks that documentation is missing this information.
https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/how-to-use-the-automl-api https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/train-machine-learning-model-cross-validation-ml-net
Do you know if AutoML also executes cross validation?
The text was updated successfully, but these errors were encountered:
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Can someone explain when it is better to use AutoML and when it is better to use cross validation?
It looks that documentation is missing this information.
https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/how-to-use-the-automl-api
https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/train-machine-learning-model-cross-validation-ml-net
Do you know if AutoML also executes cross validation?
The text was updated successfully, but these errors were encountered: