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Need guidance for Modeling and Preparation Datasets is given
just started to get confi with rapidminer (absolute beginner)
I´ve tried to build a process mainly focused on labeling target attribute, detecting outliers, missing values.
In the end I should be able to build a model which can predict wine quality
therefore I need to build a baseline classification with training and test data
The modell should be improved in the end and evaluated
I am really stuck in the preparation process.
For further details please have a look at my processes and lecture sheet.
I would be greatefull for any hint or guidance