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user 59171
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
1
vote
Handling imbalanced data by deleting over represented rows vs. adding under represented rows
Technically what I do, is create a 50-50 dataframe, which has all of the under-represented rows and randomly selected over-represented rows.
You could use a random seed for the selection from the …
2
votes
Is it advisable to combine two dataset?
Yes, usually with ML, more data you have, better the results! Of course mixing data from different population is risky, but if it works you are on the right path. … Using more data helps generalise during the training of your model. So, if you are able to test your model over sample from both population and you obtain good result, you can do it. …