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"Linear Regression: squared correlation missing from performance criterion select"
I have a feeling this is 1 of those questions blindingly obvious to everyone but me (very new to this field) but I'm hoping someone can help me out.
I have RapidMiner 5.3.015 process which has a numerical cross validation block to get the performance measures for linear regression. The process runs and outputs the model, training data and the following performance vectors
How do I add that to the performance output as I can't see any parameters on the performance block or validation
I have RapidMiner 5.3.015 process which has a numerical cross validation block to get the performance measures for linear regression. The process runs and outputs the model, training data and the following performance vectors
- root_mean_squared_error
squared_error
How do I add that to the performance output as I can't see any parameters on the performance block or validation
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