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How to generate synthetic data with RM?

Hello,

to avoid overfitting I would like to increase the dataset based on real data, maybe using GAN? Are there example processes available?

Or is Python required for that? Are there ways using Turbo Prep?

Thanks

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Accepted answers

MartinLiebig

GAN is not supported yet. You may use SMOTE or Build Simulation in operator toolbox.

All comments

MartinLiebig

GAN is not supported yet. You may use SMOTE or Build Simulation in operator toolbox.

sherlock

Thanks, for your quick answer, very helpful! I just realized that the "Smote Upsampling"-Operator doesn't offer all parameters described in the help (advanced parameters enabled). E.g. minoriy classe, auto detect minority class, upsampling size etc.

Do I have an old version (just downloaded from marketplace) or anything to activate?

Thanks

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