A VNS-EDA Algorithm-Based Feature Selection for Credit Risk Classification

Table 2

LendingClub dataset with descriptive statistics.

Number	Feature	Statistics	Range
1	Loan_amnt	Avg = 15413	[1000, 40000]
2	Int_rate	Avg = 13.81
3	Installment	Avg = 456.51	[30.12, 1556.8]
4	Open_acc	Avg = 11.17	[0, 57]
5	Open_acc_6 m	Avg = 1.07	[0, 12]
6	Total_bal_il	Avg = 36233.93	[0, 923836]
7	…	…	…
8	Open_rv_12 m	Avg = 1.37	[0, 17]
9	Max_bal_bc	Avg = 5255.02	[0, 104320]
10	Acc_open_past_24 mths	Avg = 4.97	[0, 31]
11	Mths_since_recent_inq	Avg = 5.90	[0, 24]
12	Num_bc_tl	Avg = 7.35	[0, 44]
13	Num_tl_op_past_12 m	Avg = 2.36	[0, 18]
14	Total_il_high_credit_limit	Avg = 45162.75	[0, 817057]
15	Annual_inc	Avg = 80672.79	[0, 93000]