---
language:
- en
tags:
- compas
- tabular_classification
- binary_classification
pretty_name: Bank
size_categories:
- 1K<n<10K
task_categories:  # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- encoding
- subscription
---
# Bank
The [Bank dataset](https://archive.ics.uci.edu/ml/datasets/bank+marketing) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Potential clients are contacted by a bank during a second advertisement campaign.
This datasets records the customer, the interaction with the AD campaign, and if they subscribed to a proposed bank plan or not.

# Configurations and tasks
- `encoding` The encoding dictionaries mapping binary and ordinal features to their value;.
- `subscription` Binary classification task to classify whether the customer has subscribed or not.

# Features
| **Name**                                      |**Type**   |
|-----------------------------------------------|-----------|
|`age`                                          |`int64`    |
|`job`                                          |`string`   |
|`marital_status`                               |`string`   |
|`education`                                    |`int8`     |
|`has_defaulted`                                |`int8`     |
|`account_balance`                              |`int64`    |
|`has_housing_loan`                             |`int8`     |
|`has_personal_loan`                            |`int8`     |
|`month_of_last_contact`                        |`string`   |
|`number_of_calls_in_ad_campaign`               |`string`   |
|`days_since_last_contact_of_previous_campaign` |`int16`    |
|`number_of_calls_before_this_campaign`         |`int16`    |
|`successfull_subscription`                     |`int8`     |