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metadata
language:
  - en
tags:
  - compas
  - tabular_classification
  - binary_classification
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