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Logistic Regression on regression problem throws error
Therefore, I set the label attribute as label and convert it with Numerical2Binominal and throw it into a cross validation subprocess with the logistic regression in it.
Afterwards I would reconvert both label and prediction back to numerical and assess the regression performance.
'Model training error (H2O).
Error while training the H2O model: Illegal argument(s) for GLM model: ERRR on field: _response: Response cannot be constant.'
The issue is: I don't have any attribute called reponse or similar. Even outputting the data before the Log. Reg. operator does not show any sign of 'response'.
So, any idea how to fix or bypass this?
Any help is appreciated.
<?xml version="1.0" encoding="UTF-8"?><process version="9.3.001">