Credit Score Classification

Given a person’s credit-related information, build a machine learning model that

@kaggle.parisrohan_credit_score_classification

Table List

2 tables(11.37 MB)

Train

@kaggle.parisrohan_credit_score_classification.train

7.07 MB
100000 rows
28 columns

id ID	customer_id Customer ID	month Month	name Name	age Age	ssn SSN	occupation Occupation	annual_income Annual Income	monthly_inhand_salary Monthly Inhand Salary	num_bank_accounts Num Bank Accounts	num_credit_card Num Credit Card	interest_rate Interest Rate	num_of_loan Num Of Loan	type_of_loan Type Of Loan	delay_from_due_date Delay From Due Date	num_of_delayed_payment Num Of Delayed Payment	changed_credit_limit Changed Credit Limit	num_credit_inquiries Num Credit Inquiries	credit_mix Credit Mix	outstanding_debt Outstanding Debt	credit_utilization_ratio Credit Utilization Ratio	credit_history_age Credit History Age	payment_of_min_amount Payment Of Min Amount	total_emi_per_month Total EMI Per Month	amount_invested_monthly Amount Invested Monthly	payment_behaviour Payment Behaviour	monthly_balance Monthly Balance	credit_score Credit Score
0x1602	CUS_0xd40	January	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.8433333333328	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	11.27	4	_	809.98	26.822619623699016	22 Years and 1 Months	No	49.57494921489417	80.41529543900253	High_spent_Small_value_payments	312.49408867943663	Good
0x1603	CUS_0xd40	February	Aaron Maashoh	23	821-00-0265	Scientist	19114.12		3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	-1	nan	11.27	4	Good	809.98	31.94496005538421	nan	No	49.57494921489417	118.28022162236736	Low_spent_Large_value_payments	284.62916249607184	Good
0x1604	CUS_0xd40	March	Aaron Maashoh	-500	821-00-0265	Scientist	19114.12		3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	_	4	Good	809.98	28.60935202206993	22 Years and 3 Months	No	49.57494921489417	81.699521264648	Low_spent_Medium_value_payments	331.2098628537912	Good
0x1605	CUS_0xd40	April	Aaron Maashoh	23	821-00-0265	Scientist	19114.12		3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	5	4	6.27	4	Good	809.98	31.377861869582357	22 Years and 4 Months	No	49.57494921489417	199.4580743910713	Low_spent_Small_value_payments	223.45130972736786	Good
0x1606	CUS_0xd40	May	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.8433333333328	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	6	nan	11.27	4	Good	809.98	24.797346908844982	22 Years and 5 Months	No	49.57494921489417	41.420153086217326	High_spent_Medium_value_payments	341.48923103222177	Good
0x1607	CUS_0xd40	June	Aaron Maashoh	23	821-00-0265	Scientist	19114.12		3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	8	4	9.27	4	Good	809.98	27.26225871052017	22 Years and 6 Months	No	49.57494921489417	62.430172331195294	!@9#%8	340.4792117872438	Good
0x1608	CUS_0xd40	July	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.8433333333328	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	8_	11.27	4	Good	809.98	22.53759303178384	22 Years and 7 Months	No	49.57494921489417	178.3440674122349	Low_spent_Small_value_payments	244.5653167062043	Good
0x1609	CUS_0xd40	August	nan	23	#F%$D@*&8	Scientist	19114.12	1824.8433333333328	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	6	11.27	4	Good	809.98	23.93379480196552	nan	No	49.57494921489417	24.785216509052056	High_spent_Medium_value_payments	358.12416760938714	Standard
0x160e	CUS_0x21b1	January	Rick Rothackerj	28_	004-07-5839	_______	34847.84	3037.986666666666	2	4	6	1	Credit-Builder Loan	3	4	5.42	2	Good	605.03	24.46403063758457	26 Years and 7 Months	No	18.816214573128885	104.291825168246	Low_spent_Small_value_payments	470.69062692529184	Standard
0x160f	CUS_0x21b1	February	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986666666666	2	4	6	1	Credit-Builder Loan	7	1	7.42	2	Good	605.03	38.550848433956325	26 Years and 8 Months	No	18.816214573128885	40.39123782853101	High_spent_Large_value_payments	484.5912142650067	Good


CREATE TABLE train (
  "id" VARCHAR,
  "customer_id" VARCHAR,
  "month" VARCHAR,
  "name" VARCHAR,
  "age" VARCHAR,
  "ssn" VARCHAR,
  "occupation" VARCHAR,
  "annual_income" VARCHAR,
  "monthly_inhand_salary" DOUBLE,
  "num_bank_accounts" BIGINT,
  "num_credit_card" BIGINT,
  "interest_rate" BIGINT,
  "num_of_loan" VARCHAR,
  "type_of_loan" VARCHAR,
  "delay_from_due_date" BIGINT,
  "num_of_delayed_payment" VARCHAR,
  "changed_credit_limit" VARCHAR,
  "num_credit_inquiries" DOUBLE,
  "credit_mix" VARCHAR,
  "outstanding_debt" VARCHAR,
  "credit_utilization_ratio" DOUBLE,
  "credit_history_age" VARCHAR,
  "payment_of_min_amount" VARCHAR,
  "total_emi_per_month" DOUBLE,
  "amount_invested_monthly" VARCHAR,
  "payment_behaviour" VARCHAR,
  "monthly_balance" VARCHAR,
  "credit_score" VARCHAR
);