5.2 KiB
5.2 KiB
| 1 | var_name | description | data_type | valid_min | valid_max | cap_min_type | cap_min_value | cap_max_type | cap_max_value | default_treatment_type | default_treatment_value | missing_treatment_type | missing_treatment_value | scaling_type | encoding_type | is_category | is_predictor | is_id | is_target | monotonic | force | ignore | observed_cap_min_value | observed_cap_max_value | observed_default_treatment_value | observed_missing_treatment_value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | US34S | Utilization for open unsecured installment loans verified in past 12 months | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 142 | ||||||||||
| 3 | US28S | Total loan amount of open unsecured installment loans verified in past 12 months | int | 0 | 999999999 | fixed | 20 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 20 | 34594 | ||||||||||
| 4 | US101S | Total balance of all unsecured installment loans verified in past 12 months | int | 0 | 999999999 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 29848 | ||||||||||
| 5 | US01S | Number of unsecured installment loans | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 103 | ||||||||||
| 6 | TRV10 | The number of months with at least one nonmortgage account balance decrease over the last 12 months. If multiple accounts have a balance | int | 0 | 12 | fixed | 0 | fixed | 12 | unk | 1 | 1 | 0 | 0 | 0 | 12 | ||||||||||
| 7 | TRV06 | The number of months with at least one nonmortgage account balance increase over the last 12 months. If multiple accounts have a balance increase | int | 0 | 12 | fixed | 0 | fixed | 12 | unk | 1 | -1 | 0 | 0 | 0 | 12 | ||||||||||
| 8 | SE21CD | Months since most recent unpaid secured installment 120+ dpd or worse trade reported as closed | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 999 | ||||||||||
| 9 | SE20S | Months since oldest secured installment loan opened | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 204 | ||||||||||
| 10 | SE09S | Number of secured installment loans opened in past 24 months | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 9 | ||||||||||
| 11 | SE06S | Number of secured installment loans opened in past 6 months | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 3 | ||||||||||
| 12 | SE02S | Number of open secured installment loans | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 3 | ||||||||||
| 13 | RLE907 | Months since most recent over-payment on a real estate account | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 999 | ||||||||||
| 14 | PER253 | Average aggregate excess payment for personal loans over the past 6 months | int | 0 | 999999999 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 1276 | ||||||||||
| 15 | PER225 | Average payment ratio for personal loans over the past 24 months | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 6 | ||||||||||
| 16 | PER223 | Average payment ratio for personal loans over the past 6 months | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 7 | ||||||||||
| 17 | PER205 | Total payment ratio for personal loans over the past 24 months | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 6 | ||||||||||
| 18 | PER204 | Total payment ratio for personal loans over the past 12 months | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 6 | ||||||||||
| 19 | PER203 | Total payment ratio for personal loans over the past 6 months | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 7 | ||||||||||
| 20 | PER201 | Total payment ratio for personal loans over the past month | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 7 | ||||||||||
| 21 | PDMAG01 | The past due magnitude algorithm measures the degree of aggregate non-mortgage past due amount change over the last 24 months by considering the past due amount patterns. High indexes indicate a high degree of past due amount growth. | int | 0 | 600 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 600 | ||||||||||
| 22 | PAYMNT06 | The ratio of the sum of all payments to the sum of all the minimum monthly obligations reported in the last 6 months for installment accounts. | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 7 | ||||||||||
| 23 | INAP01 | Total scheduled monthly payment for open installment loans verified in past 12 months. Note: If monthly payment amount is missing, it will be imputed | int | 0 | 999999999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 2849 | ||||||||||
| 24 | FI32S | Maximum current balance owed on open finance installment loans verified in past 12 months | int | 0 | 999999999 | fixed | -4 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | -4 | 52864 | ||||||||||
| 25 | FI28S | Total loan amount of open finance installment loans verified in past 12 months | int | 0 | 999999999 | fixed | 25 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 25 | 97005 | ||||||||||
| 26 | CV26 | The percentage of accounts that went from active (balance > $0) to inactive ($0 balance) at any time within the past 12 months. | float | 0 | 100 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 60 | ||||||||||
| 27 | CTA17 | Number of instances where a non-mortgage account was utilized more than 90% since the most recent account was opened | int | 0 | 999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 59 | ||||||||||
| 28 | AUT201 | Total payment ratio (payment made/minimum payment due) for auto loans over the past 1 month | float | 0 | 50 | fixed | 0 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 0 | 25 | ||||||||||
| 29 | AT35B | Average balance of open trades verified in past 12 months (excluding mortgage and home equity) | int | 0 | 999999999 | fixed | 0 | percentile | 0.99 | unk | 1 | 1 | 0 | 0 | 0 | 23594 | ||||||||||
| 30 | AEPMAG05 | The aggregate excess payment magnitude algorithm measures the degree of aggregate personal loan aggregate excess payment change over the last 24 months by considering the aggregate excess payment patterns. High indexes indicate a high degree of aggregate excess payment growth. | int | 0 | 600 | fixed | 23 | percentile | 0.99 | unk | 1 | -1 | 0 | 0 | 23 | 374 | ||||||||||
| 31 | tuseqno_accid | Unique Applicant ID | string | 0 | 1 | 0 | 0 | |||||||||||||||||||
| 32 | is_model_A_pop | is_model_A_pop flag | int | 0 | 1 | 0 | 1 | 0 | 0 |