Optimizing for Recall in Azure AutoML UI

Mesh — Thu, 21 Mar 2024 05:15:57 GMT

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!

Re: Optimizing for Recall in Azure AutoML UI

Mesh — Thu, 21 Mar 2024 14:18:35 GMT

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

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Optimizing for Recall in Azure AutoML UI

Re: Optimizing for Recall in Azure AutoML UI