数据集:
mstz/heloc
The HELOC dataset from FICO. Each entry in the dataset is a line of credit, typically offered by a bank as a percentage of home equity (the difference between the current market value of a home and its purchase price). The customers in this dataset have requested a credit line in the range of $5,000 - $150,000. The fundamental task is to use the information about the applicant in their credit report to predict whether they will repay their HELOC account within 2 years.
Configuration | Task | Description |
---|---|---|
risk | Binary classification | Will the customer default? |
from datasets import load_dataset dataset = load_dataset("mstz/heloc")["train"]
Feature | Type |
---|---|
estimate_of_risk | int8 |
months_since_first_trade | int32 |
months_since_last_trade | int32 |
average_duration_of_resolution | int32 |
number_of_satisfactory_trades | int16 |
nr_trades_insolvent_for_over_60_days | int16 |
nr_trades_insolvent_for_over_90_days | int16 |
percentage_of_legal_trades | int16 |
months_since_last_illegal_trade | int32 |
maximum_illegal_trades_over_last_year | int8 |
maximum_illegal_trades | int16 |
nr_total_trades | int16 |
nr_trades_initiated_in_last_year | int16 |
percentage_of_installment_trades | int16 |
months_since_last_inquiry_not_recent | int16 |
nr_inquiries_in_last_6_months | int16 |
nr_inquiries_in_last_6_months_not_recent | int16 |
net_fraction_of_revolving_burden | int32 |
net_fraction_of_installment_burden | int32 |
nr_revolving_trades_with_balance | int16 |
nr_installment_trades_with_balance | int16 |
nr_banks_with_high_ratio | int16 |
percentage_trades_with_balance | int16 |