/aml-app

Primary LanguagePython

This application can show the benefit DataRobot can provide a manual reviewer 'drowning in alerts'. Due to compliance reasons often there is a manual review required of AML alerts (generated by a rules based system). DatRobot can make the processing of these alerts more efficient and reduce the false positive rate. This uses the Anti-Money Laundering dataset.

The anomaly score can compliment the classification model and potentially catch different fraudulant observations. Can make for a good story if fraudulant actors 'adapt their behavior.'

Link to the Application

Score the sample file provided in the Repository. This application is largely based off of an application Marshall Krassenstein built.