How to deal with imbalanced dataset

yash Partner, L2 Designer, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Registered Posts: 7 Partner

When we have a dataset with imbalanced classes how to build a model on this dataset by sampling. I have noticed that class rebalancing is available for data preparation but that only works with undersample and not oversampling.

So how can I over sample my dataset. Is there any recipe or option to select SMOTE or ADASYN before modelling?


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