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check how it looks. We are done with the preprocessing now we can start splitting the dataset into features and labels. Splitting The Features And Label y = train['Item_Outlet_Sales'] X = train.drop(columns=['Item_Outlet_Sales']) The “Item_Outlet_Sales” is the label column that we want to predict.