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I have been trying to establish the best model for detecting fraud with regards to money laundering activities.
I have found that,
1. Logistic regression
3. Custom neural models
4. MARS and
5. Time series Analysis
are the appropriate tools that can be used for the same. Kindly help me as to which one should be used and why ?