osancus / Loan-Fraud-Detection-with-Spark

This project aims to determine the result (approved or declined) for a loan application based on the information of the applicant.

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Loan-Fraud-Detection-with-Spark

This project aims to determine the result (approved or declined) for a loan application based on the information of the applicant.

Dataset

The data is from the German Credit Data Set which classifies people described by a set of attributes about credit risks.

https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29

The data has been downloaded and saved as credit_data.txt.

Package the Scala project with SBT

  1. Download sbt.rar and unpack it into C:\project\

  2. In the folder: C:\project\sbt, run: $ sbt assembly

  3. Copy the executable JAR file from the folder C:\project\sbt\target\scala-2.11\ to the folder C:\project, copy the data file credit_data.txt to the folder C:\project\

  4. Run the Spark program: $ spark-submit LoanFraudDetection-assembly-1.0.jar

About

This project aims to determine the result (approved or declined) for a loan application based on the information of the applicant.


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Language:Scala 100.0%