@surajmeena wrote:
I have doubt, I read somewhere that if we have a large dataset we should try to build a model on a smaller subset of it and evaluate it’s performance but if our data have missing values then should we impute missing values considering the smaller subset or we should impute missing values on original dataset and then create a smaller subset to work on ?
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