Cutset posted 1 month ago
Improve XGboost classification algorithm with small dataset, based on similar bigger dataset ?
Hi, I am doing researches about transfer learning for XGboost.

I am currently working with a small dataset from a company in Spain (short history) and the scoring is poor. I have worked before with the same company in France and the scoring was great as I had plenty of data thanks to a big history. How could I improve my score with the data from Spain with the help of data from France ?

Could I use transfer learning, or data mutualization, or data augmentation ? If anyone has faced before a similar problem, or has read some papers about it, I would love to hear about it.

Thank you!

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