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Cleaned Data for Auto Modeling
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Hi Community,
i'm a RapidMiner beginner and got a problem. I cleaned the data set with different operators and added a "store" operator afterwards. In the results of the process there are no missing values anymore – so cleaning worked in that sense. But when I now start the "Auto Modeling" with this stored new data set it shows many missing values again. Does anyone know this problem? What am I doing wrong?
Thanks! Best regards!
i'm a RapidMiner beginner and got a problem. I cleaned the data set with different operators and added a "store" operator afterwards. In the results of the process there are no missing values anymore – so cleaning worked in that sense. But when I now start the "Auto Modeling" with this stored new data set it shows many missing values again. Does anyone know this problem? What am I doing wrong?
Thanks! Best regards!
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Answers
In deed that's weird...
Could you share your process and your data in order we can reproduce what you observe and understand what is going on ?
Regards,
Lionel
thank you for your feedback! Sorry for answering so late. I made a mistake in the process ... it's working now.
But I def. need to go back to the data cleaning process to build a good prediction model out of it.
Best!
L.