K-Fold and Random Subsampling (RSS) Dataset generation?

25 May 2019 0 571 Report

Let say if I have a large dataset of 300k instances with 200 features, I want to reduce its size. Can I apply K-Fold technique to the 200 features then the trimmed dataset are applied with RSS to trim the instances? Its like K-Fold to reduce Features then RSS to reduce instances then I get a small-scaled dataset with the less number of features and randomized smaller instances. Can this be done?

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