Optimizing for Recall in Azure AutoML UI

[Mesh]

Hi all, I've been using Azure AutoML and noticed that I can choose 'recall' as my optimization metric in the notebook but not in the Azure AutoML UI. The Databricks documentation also doesn't list 'recall' as an optimization metric.

Is there a reason why recall isn't an option in the UI, or am I missing something? Any workaround or explanation would be helpful!

Thanks!

[Kaniz_Fatma]

Hi @Mesh, Please refer to the following documentation - 

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml?view=azureml...

[Mesh]

On the databricks notebook itself, I can see that databricks.automl supports using recall as a primary metric

Help on function classify in module databricks.automl:

    :param primary_metric:  primary metric to select the best model. Each trial will compute several metrics, but this one determines which model is selected from all the trials. One of "f1" (default), "log_loss", "accuracy", "precision", "recall", "roc_auc".

But this blog didn't state that in the list of primary metrics