Machine Learning Task: Binary classification
This is a German Credit dataset. It classifies people described by a set of attributes as good or bad credit risks. This dataset contains such information as a type of job, age, credit history.
Available at OpenML: https://openml.org/d/31
Category: Banking
# Rows: 1,000 # Columns: 20
Target: class
Numeric: duration, credit_amount, installment_commitment, residence_since, age, existing_credits, num_dependents
Nominal: checking_status, credit_history, purpose, savings_status, employment, personal_status, other_parties, property_magnitude, other_payment_plans, housing, job, own_telephone, foreign_worker
