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I have a dataset which i applied StringtoWordVector and remove filter and then removed 1 fold using StratifiedFolds

This is the samples i have. My random seed is 0.

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However, When i chained the stringtowordvector with a attributeEval filter then removed one fold, i got this sample.

enter image description here

How do i ensure that both folds have the same instances? I am fine with following either samples.

I am trying to compare the effectiveness of feature selection and i cannot work with it having different test sets.

aceminer
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1 Answers1

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I have found the workaround. Firstly i Split the dataset into folds and saved them as train/test arff. Then i performed the remove filter on the dataset which results in a stratified sample as above

aceminer
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