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Classifying outliers using Density Based Scanning (DBScan) and Local Outlier Factors (LOF) to predict whether a given account holder committed fraud or not.

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SivaramakrishnanKN/Credit-Card-Fraud-Detection

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Credit Card Fraud Detection

This assignment aims to understand the DBSCAN and LOF Algorithms for the Data Mining (CS F415) course.

Packages Required

The following code requires the installation of the below packages:

Numpy, Pandas, and scikit-learn.

Usage

DBSCAN

The parameters Eps and Min_Pts have to be set.

python3 dbscan.py

LOF

The parameters K and Thresh need to be set.

python3 lof.py

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Classifying outliers using Density Based Scanning (DBScan) and Local Outlier Factors (LOF) to predict whether a given account holder committed fraud or not.

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