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what are the classifier or algorithm used at the backend of rapidminer for preprocessing the data.
What kind of data pre-processing do you mean? Normalization? PCA? Transpose? Pivoting? Sometimes it depends on the algorithm itself.
Do you mean any specific machine learning operator?
For instances, GLM (generalized linear model) operator can apply data normilzation (standardize/rescale) in the backend pre-processing, but this is optional.
mean when import data to rapidmner and if there are some error in our data then it say that u have this problem etc.so i mean that at that time what algo or techniques used at backend of rapidminer.
Thanks for the clarifications! @RUI1
Suppose you have a csv file and unfortunately the data parser can not recognize the delimiter at some point, it will send you some warning message like
Honestly I do not know the internal data pre-check process so defer it to our developer team leader @Marco_Boeck
I do not understand the question. Could you please be more specific?
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