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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?
Hello,
Please refer to the following article: https://community.dataiku.com/t5/Using-Dataiku-DSS/How-to-train-a-classification-model-on-an-imbalan...