Data Description:
In this competition, you are provided with 1.5 years of customers behavior data from Santander bank to predict what new products customers will purchase. The data starts at 2015-01-28 and has monthly records of products a customer has, such as "credit card", "savings account", etc. You will predict what additional products a customer will get in the last month, 2016-06-28, in addition to what they already have at 2016-05-28. These products are the columns named: ind_(xyz)_ult1, which are the columns #25 - #48 in the training data. You will predict what a customer will buy in addition to what they already had at 2016-05-28.
The test and train sets are split by time, and public and private leaderboard sets are split randomly.
Please note: This sample does not include any real Santander Spain customers, and thus it is not representative of Spain's customer base.
File descriptions
Data fields
Column Name | Description |
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fecha_dato | The table is partitioned for this column |
ncodpers | Customer code |
ind_empleado | Employee index: A active, B ex employed, F filial, N not employee, P pasive |
pais_residencia | Customer's Country residence |
sexo | Customer's sex |
age | Age |
fecha_alta | The date in which the customer became as the first holder of a contract in the bank |
ind_nuevo | New customer Index. 1 if the customer registered in the last 6 months. |
antiguedad | Customer seniority (in months) |
indrel | 1 (First/Primary), 99 (Primary customer during the month but not at the end of the month) |
ult_fec_cli_1t | Last date as primary customer (if he isn't at the end of the month) |
indrel_1mes | Customer type at the beginning of the month ,1 (First/Primary customer), 2 (co-owner ),P (Potential),3 (former primary), 4(former co-owner) |
tiprel_1mes | Customer relation type at the beginning of the month, A (active), I (inactive), P (former customer),R (Potential) |
indresi | Residence index (S (Yes) or N (No) if the residence country is the same than the bank country) |
indext | Foreigner index (S (Yes) or N (No) if the customer's birth country is different than the bank country) |
conyuemp | Spouse index. 1 if the customer is spouse of an employee |
canal_entrada | channel used by the customer to join |
indfall | Deceased index. N/S |
tipodom | Addres type. 1, primary address |
cod_prov | Province code (customer's address) |
nomprov | Province name |
ind_actividad_cliente | Activity index (1, active customer; 0, inactive customer) |
renta | Gross income of the household |
segmento | segmentation: 01 - VIP, 02 - Individuals 03 - college graduated |
ind_ahor_fin_ult1 | Saving Account |
ind_aval_fin_ult1 | Guarantees |
ind_cco_fin_ult1 | Current Accounts |
ind_cder_fin_ult1 | Derivada Account |
ind_cno_fin_ult1 | Payroll Account |
ind_ctju_fin_ult1 | Junior Account |
ind_ctma_fin_ult1 | Más particular Account |
ind_ctop_fin_ult1 | particular Account |
ind_ctpp_fin_ult1 | particular Plus Account |
ind_deco_fin_ult1 | Short-term deposits |
ind_deme_fin_ult1 | Medium-term deposits |
ind_dela_fin_ult1 | Long-term deposits |
ind_ecue_fin_ult1 | e-account |
ind_fond_fin_ult1 | Funds |
ind_hip_fin_ult1 | Mortgage |
ind_plan_fin_ult1 | Pensions |
ind_pres_fin_ult1 | Loans |
ind_reca_fin_ult1 | Taxes |
ind_tjcr_fin_ult1 | Credit Card |
ind_valo_fin_ult1 | Securities |
ind_viv_fin_ult1 | Home Account |
ind_nomina_ult1 | Payroll |
ind_nom_pens_ult1 | Pensions |
ind_recibo_ult1 | Direct Debit |