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Niki2019
I have used the optimize paramater on knn on a training and validation dataset to create a model. When I apply this model to new data, a predicted value for the labeled variable is created, however the performance (RMSE, adjusted r^2) is reported as "unknown" for the new data. (I am able to see the performance of the original training model).
Why is this happening? How do I fix it?
I have attached all appropriate files and rmp files
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lionelderkrikor
Hi
@Niki2019
,
totally logic !
In your score set, you don't supply a "true value" for your label.
So it's impossible for RapidMiner to compare the predictions to the true labels to in fine calculate a performance...
I hope it is clear,
Regards,
Lionel
Telcontar120
The new data you are applying the model to must have a value in the label field in order to calculate a performance. It appears that MEDV (the label) is blank for the record you are trying to score.
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