Bank Loan Approval - LR, DT, RF And AUC

Classification Problem using LR, DT, RF and AUC in R Programming

@kaggle.vikramamin_bank_loan_approval_lr_dt_rf_and_auc

Table List

1 table(74.13 KB)

Bankloan

@kaggle.vikramamin_bank_loan_approval_lr_dt_rf_and_auc.bankloan

74.13 KB
5000 rows
14 columns

id ID	age Age	experience Experience	income Income	zip_code ZIP.Code	family Family	ccavg CCAvg	education Education	mortgage Mortgage	personal_loan Personal.Loan	securities_account Securities.Account	online Online	creditcard CreditCard
1	25	1	49	91107	4	1.6	1			1
2	45	19	34	90089	3	1.5	1			1
3	39	15	11	94720	1	1	1
4	35	9	100	94112	1	2.7	2
5	35	8	45	91330	4	1	2					1
6	37	13	29	92121	4	0.4	2	155			1
7	53	27	72	91711	2	1.5	2				1
8	50	24	22	93943	1	0.3	3					1
9	35	10	81	90089	3	0.6	2	104			1
10	34	9	180	93023	1	8.9	3		1


CREATE TABLE bankloan (
  "id" BIGINT,
  "age" BIGINT,
  "experience" BIGINT,
  "income" BIGINT,
  "zip_code" BIGINT,
  "family" BIGINT,
  "ccavg" DOUBLE,
  "education" BIGINT,
  "mortgage" BIGINT,
  "personal_loan" BIGINT,
  "securities_account" BIGINT,
  "cd_account" BIGINT,
  "online" BIGINT,
  "creditcard" BIGINT
);