Scoring fails
Hi everyone:
I get several models from Auto model, next I want validate these models with another dataset. The new dataset have the same structure (colums, domains and value ranges). I'm using Apply Model with the model from auto model and the new dataset. The problem is what the prediction results are only one class, no one the other class.
Do you have some tip or suggest how do the scoring process?
Thanks !
Thanks !
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Altair EmployeeHi,
did you use the score_set process provided in the results you can save?
Best,
Martin
mschmitz
I saw Auto model do great preprocessing work, and the final production data of each model was transformed, and the original int value was converted to real values, then when I scored the model, I made the same transformation (int to real) end the scoring process works fine!
Thanks
I saw Auto model do great preprocessing work, and the final production data of each model was transformed, and the original int value was converted to real values, then when I scored the model, I made the same transformation (int to real) end the scoring process works fine!
Thanks
Sort by:
1 - 1 of
11
mschmitz
I saw Auto model do great preprocessing work, and the final production data of each model was transformed, and the original int value was converted to real values, then when I scored the model, I made the same transformation (int to real) end the scoring process works fine!
Thanks
I saw Auto model do great preprocessing work, and the final production data of each model was transformed, and the original int value was converted to real values, then when I scored the model, I made the same transformation (int to real) end the scoring process works fine!
Thanks