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?
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?