metadata

language:
  - en
tags:
  - compas
  - tabular_classification
  - binary_classification
  - UCI
pretty_name: Bank
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification
configs:
  - encoding
  - subscription

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

Usage

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`