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Fraud Detection

In this project, the machine is trained and tested to detect persons which are likely to be fraud are detected based on past information about telecommunications, i.e. cellular data usage, call and SMS information.

Treebag, random forest and partitioning algorithms are tested on this database and the results are evaluated according to confusion matrices and area under ROC curves.

Note that the code is incomplete because of the privacy policy of Turkcell Technology. Database information is not given in the code. However, you can try to use this code on different databases.

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