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# Using signatures to recognise hand written digits

Hand written digits can be seen, in a very natural way, as paths. We exploit this in order to create a machine learning model based on signatures that recognises hand written digits.

# Results

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The model correctly classifies digits with an accuracy of 87%, which is achieved for the 9th order signature.

See https://www.quantstart.com/articles/rough-path-theory-and-signatures-applied-to-quantitative-finance-part-3 for a detailed explanation of the code and model.