Which would be best suited for training data?

A developer is using machine learning techniques to train a system which will identify fraudulent insurance claims.

Which would be best suited for training data?
A . Samples of known fraudulent and legitimate claims
B . A set of known legitimate claims mixed in with random claim samples
C . A set of known fraudulent claims mixed in with random claim samples
D . A new set of unknown claims

Answer: A

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