Why the "Learning schemes cannot be applied without at least one valid attribute" error?
"read excel" and "SVM", but the error is "Learning schemes cannot be applied without at least one valid attribute"
Why this error and how to solve it?
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Hi!
You selected a small cell range when importing from Excel. This means that only those cells were imported.
For your setup to work, you should re-execute the import wizard, but now let it import all the data. Set the correct types of your columns (there seem to be nominal/text ones and also numericals). Then use Set Role to mark the target attribute with the role "label".
Building the model will work then.
You might want to watch this video in the Academy: https://academy.rapidminer.com/learn/video/data-preparation
It explains some basic steps for preparing a data set for model building.
Regards,
Balázs
You selected a small cell range when importing from Excel. This means that only those cells were imported.
For your setup to work, you should re-execute the import wizard, but now let it import all the data. Set the correct types of your columns (there seem to be nominal/text ones and also numericals). Then use Set Role to mark the target attribute with the role "label".
Building the model will work then.
You might want to watch this video in the Academy: https://academy.rapidminer.com/learn/video/data-preparation
It explains some basic steps for preparing a data set for model building.
Regards,
Balázs
Thank you guys!
You need to define a label attribute, the one you want to predict.
Please check this video to learn how to do it.
Data preparation Jumpstart | RapidMiner Studio