Skip to content
This repository has been archived by the owner on Feb 28, 2020. It is now read-only.

thuvarahan97/DataStorm1.0_TeamFixzels

Repository files navigation

DataStorm1.0_TeamFixzels

Data Storm 1.0 - Business Problem - Team Fixzels

  • Use case definition - A default can occur when a borrower is unable to make timely payments, misses payments, or avoids/stops making payments
  • Business problem - As a result of credit card default, bank accounts close, non-performing loans and bad debts get written-off. Therefore, the bank needs help in predicting and preventing credit card default to improve their Bottom line.
  • Key Objective - Finding out priority clients who have the highest risk of credit card default.
File descriptions
  • credit_card_default_train.csv - the training set
  • credit_card_default_test.csv - the test set
Data fields
  • Client_ID - customer id
  • Balance_Limit_V1 - credit card limit given
  • Gender - F = female, M = male
  • EDUCATION_STATUS - education status of the customer
  • MARITAL_STATUS - 1= single, 2 = married, 3 = others
  • AGE - Age of customer
  • PAY_JULY,PAY_AUG,PAY_SEP,PAY_OCT,PAY_NOV,PAY_DEC - "History of past payments" (-2 = paid two months in advance), (-1 = paid one month in advance), (0 = payment due current month), ( 1 = payment delay for one month), (2 = payment delay for two months), (8 = payment delay for eight months), (9 = payment delay for nine months and above)
  • DUE_AMT_JULY, DUE_AMT_AUG, DUE_AMT_SEP, DUE_AMT_OCT, DUE_AMT_NOV, DUE_AMT_DEC - "Due amount of bill statements"
  • PAID_AMT_JULY, PAID_AMT_AUG, PAID_AMT_SEP, PAID_AMT_OCT, PAID_AMT_NOV, PAID_AMT_DEC - "Amount paid in each month"
  • NEXT_MONTH_DEFAULT - target variable - Predict if next month payment is a default payment or not

Data Storm 1.0 Competition Link : https://www.kaggle.com/c/data-storm-10/