Need guidance for Modeling and Preparation Datasets is given

Atilla

Dear Community,

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

Best regards
Atilla

ceaperez

Hi @Atilla

I review your process. there are some redundant operators but in general good work. I don't know where are you stuck. you removed the noise, missing values and reduced the label to three values. 

Best

Atilla

Thank´s for your review I apprecite it. Now I finished it with modelling and testing. Would you keen to have a look on that process? Are they mistakes or redundancies?

Kindley Regards

ceaperez

Hi @Atilla, 

Without the excel file I can't run the process. however, looking at process I can see that you are using a Select Attributes operator and you are selecting all of them, It's no necessary. also you are using a Set Role Operator, after Select Attributes, with the label attribute but assigning it a regular role, for then assigning it a label label role into the Cross Validation Operator. you can remove the first Set Role Operator

Best

Atilla

Awesome thank you. By the way, here are the excell files.

Atilla

Pardon me, this is the right excell-file >