Credit Score Classification by Kaggle | Finance and Economics

About this Dataset

Credit Score Classification

Problem Statement
You are working as a data scientist in a global finance company. Over the years, the company has collected basic bank details and gathered a lot of credit-related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts.

Task
Given a person’s credit-related information, build a machine learning model that can classify the credit score.

Tables

Test

@kaggle.parisrohan_credit_score_classification.test

4.3 MB
50000 rows
27 columns


CREATE TABLE test (
  "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
);

Train

@kaggle.parisrohan_credit_score_classification.train

7.07 MB
100000 rows
28 columns


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
);