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Answers
as with each data science project:
- What data do you have? Where to get it, where to get more information?
- How do you need to preprocess the data to get a table suitable for machine learning?
- What will be your label (the attribute you want to predict)?
- Do you need the best model by technical criteria (accuracy, area under the curve, false positive rate, ...) or an explainable/simple one?
etc.
Best regards,
Balázs