How to test automodel generated neural network model
I am new to rapidminer. I usually us MATLAB tools for solving neural network problems but using rapid minor automodel tool is giving me really great accuracy for my data for classification. I have a doubt how to validate my model and how can i test my various models generated by automodel for classification problem?
Thanks in advance
Thanks in advance
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Altair Employeehi @ssv112 welcome and glad you got an answer to your question. Don't forget to mark it as "answered" 
Scott
Scott
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Hi @ssv112,
The validation is performed automatically in Auto-Model and the results are displayed in the "results" screen :(see the documentation at the right to understand how a model is validated)
"how can i test my various models generated by automodel for classification problem"
Do you mean , you want to score a new test set with your model(s) ? in this case, you will need the Apply Model operator :
Warning : This picture is just the principle schematic of the process : In practice you have to apply the same preprocessing step(s) to your test set than your training set (Normalization etc.).
Hope this helps,
Regards,
Lionel
The validation is performed automatically in Auto-Model and the results are displayed in the "results" screen :(see the documentation at the right to understand how a model is validated)
"how can i test my various models generated by automodel for classification problem"
Do you mean , you want to score a new test set with your model(s) ? in this case, you will need the Apply Model operator :
Warning : This picture is just the principle schematic of the process : In practice you have to apply the same preprocessing step(s) to your test set than your training set (Normalization etc.).
Hope this helps,
Regards,
Lionel
The validation is performed automatically in Auto-Model and the results are displayed in the "results" screen :(see the documentation at the right to understand how a model is validated)
"how can i test my various models generated by automodel for classification problem"
Do you mean , you want to score a new test set with your model(s) ? in this case, you will need the Apply Model operator :
Warning : This picture is just the principle schematic of the process : In practice you have to apply the same preprocessing step(s) to your test set than your training set (Normalization etc.).
Hope this helps,
Regards,
Lionel