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Table 13 Complete list of remaining features resulting from XGBoost

From: A framework to improve churn prediction performance in retail banking

Feature

Original/from FE

Gain

41. Credit purchase recency

From FE

0.4623

43. Use of mobile channels recency

From FE

0.0503

15. Overall income

Original

0.0491

42. Investment purchase recency

From FE

0.0489

50. Number of distinct products purchased

From FE

0.0420

39. Total value transacted monthly

From FE

0.0378

38. Number of distinct monthly transactions

From FE

0.0375

18. Paycheck value

Original

0.0358

06. Cohort

Original

0.0280

30. Whether the customer has received a salary with the bank

Original

0.0270

60. Number of credit contracts finished or terminated

From FE

0.0224

37. Effective total amount transacted monthly

From FE

0.0166

19. Professional profile

Original

0.0146

34. Purchase frequency

From FE

0.0142

40. Total contribution margin

From FE

0.0137

13. Marital status

Original

0.0122

57. Overall credit value

From FE

0.0117

59. Number of investment products terminated

From FE

0.0090

11. Education level

Original

0.0086

05. Checking account balance

Original

0.0082

56. Overall investment value

From FE

0.0073

45. Investment purchase incidence

From FE

0.0071

20. Savings account balance

Original

0.0058

48. The number of interactions in mobile channels

From FE

0.0053

46. Use of mobile channels incidence

From FE

0.0042

12. Gender

Original

0.0039

22. Segment (Method B)

Original

0.0036

33. Purchase recency

From FE

0.0031

54. Whether the customer has any overdue credit

From FE

0.0029

17. Overdraft limit

Original

0.0027

58. The ratio of overall credit value over credit value taken by the customer with all banks in the market

From FE

0.0026

23. The region where the customer's bank agency is located

Original

0.0016