# 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
| **Configuration** | **Task**                  | Description                                                     |
|-------------------|---------------------------|-----------------------------------------------------------------|
| encoding          |                           | Encoding dictionary showing original values of encoded features.|
| subscription      | Binary classification     | Has the customer subscribed to a bank plan?                     |

# Usage
```python
from datasets import load_dataset


dataset = load_dataset("mstz/bank", "subscription")["train"]
```

# 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`     |
task_categories:tabular-classification size_categories:1K<n<10K language:en compas tabular_classification binary_classification UCI region:us
{"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["tabular-classification"], "pretty_name": "Bank", "tags": ["compas", "tabular_classification", "binary_classification", "UCI"], "configs": ["encoding", "subscription"]}
TAGS
#task_categories-tabular-classification #size_categories-1K<n<10K #language-English #compas #tabular_classification #binary_classification #UCI #region-us 

Bank
====


The Bank dataset from the UCI ML repository.
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
========================


Configuration: encoding, Task: , Description: Encoding dictionary showing original values of encoded features.
Configuration: subscription, Task: Binary classification, Description: Has the customer subscribed to a bank plan?


Usage
=====


Features
========




TAGS
#task_categories-tabular-classification #size_categories-1K<n<10K #language-English #compas #tabular_classification #binary_classification #UCI #region-us 

passage: TAGS
#task_categories-tabular-classification #size_categories-1K<n<10K #language-English #compas #tabular_classification #binary_classification #UCI #region-us 
