Credit Card Capability Data: Determining Factors
Decoding Credit Card Approval: Key Influencers Unveiled
@kaggle.zeesolver_credit_cared
Decoding Credit Card Approval: Key Influencers Unveiled
@kaggle.zeesolver_credit_cared
The Credit Card Capability Data: Determining Factors encompass various metrics used by financial institutions to evaluate credit card eligibility and set credit limits. These factors include credit score, income, employment status, debt-to-income ratio, payment history, credit utilization ratio, length of credit history, credit mix, recent credit inquiries, and public records. A credit score reflects creditworthiness, income gauges repayment ability, and employment stability indicates financial reliability. Debt-to-income ratio assesses financial health, while payment history and credit utilization ratio highlight responsible credit management. Length of credit history provides insight into financial habits, and credit mix offers a diverse perspective. Recent inquiries and public records impact creditworthiness. This comprehensive analysis aids in informed decision-making regarding credit card issuance and limit allocation.
ID: Unique identifier for each individual in the dataset.
Gender: The gender of the individual (e.g., Male, Female, Other).
Own_car: Indicates whether the individual owns a car (e.g., Yes, No).
Own_property: Indicates whether the individual owns any property (e.g., Yes, No).
Work_phone: Indicates whether the individual has a work phone (e.g., Yes, No).
Phone: Indicates whether the individual has a personal phone (e.g., Yes, No).
Email: Indicates whether the individual has provided an email address (e.g., Yes, No).
Unemployed: Indicates whether the individual is currently unemployed (e.g., Yes, No).
Num_children: The number of children the individual has.
Num_family: The total number of family members in the individual's household.
Gathered this dataset from the various open source platforms:
CREATE TABLE dataset (
"id" BIGINT,
"gender" BIGINT,
"own_car" BIGINT,
"own_property" BIGINT,
"work_phone" BIGINT,
"phone" BIGINT,
"email" BIGINT,
"unemployed" BIGINT,
"num_children" BIGINT,
"num_family" BIGINT,
"account_length" BIGINT,
"total_income" DOUBLE,
"age" DOUBLE,
"years_employed" DOUBLE,
"income_type" VARCHAR,
"education_type" VARCHAR,
"family_status" VARCHAR,
"housing_type" VARCHAR,
"occupation_type" VARCHAR,
"target" BIGINT
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