https://community.databricks.com/t5/machine-learning/customizing-class-imbalance-handling-in-databricks-automl/m-p/71111#M3304 <P>Hi Databricks! I'd like to make a feature request for end users to be able to customize class imbalance behavior in `databricks.automl`, specifically `databricks.automl.classify`. <A href="https://docs.databricks.com/en/machine-learning/automl/how-automl-works.html#imbalanced-dataset-support-for-classification-problems" target="_blank" rel="noopener">This public documentation</A> describes the default procedure, but my team is unaware of a way for users to modify this behavior. Specifically, we'd like to be able to:</P><UL><LI>Toggle class imbalance handling on/off</LI><LI>Change the threshold at which a dataset is considered imbalanced</LI><LI>Change the sampling fraction used in downsampling the major class</LI></UL><P>In the long term, availability of more complex imbalance correction techniques such as SMOTE would be appreciated too.</P><P>Thank you.</P> Thu, 30 May 2024 17:50:09 GMT rtreves 2024-05-30T17:50:09Z https://community.databricks.com/t5/machine-learning/customizing-class-imbalance-handling-in-databricks-automl/m-p/71111#M3304 <P>Hi Databricks! I'd like to make a feature request for end users to be able to customize class imbalance behavior in `databricks.automl`, specifically `databricks.automl.classify`. <A href="https://docs.databricks.com/en/machine-learning/automl/how-automl-works.html#imbalanced-dataset-support-for-classification-problems" target="_blank" rel="noopener">This public documentation</A> describes the default procedure, but my team is unaware of a way for users to modify this behavior. Specifically, we'd like to be able to:</P><UL><LI>Toggle class imbalance handling on/off</LI><LI>Change the threshold at which a dataset is considered imbalanced</LI><LI>Change the sampling fraction used in downsampling the major class</LI></UL><P>In the long term, availability of more complex imbalance correction techniques such as SMOTE would be appreciated too.</P><P>Thank you.</P> Thu, 30 May 2024 17:50:09 GMT https://community.databricks.com/t5/machine-learning/customizing-class-imbalance-handling-in-databricks-automl/m-p/71111#M3304 rtreves 2024-05-30T17:50:09Z