README.md

metadata

configs:
  - config_name: subscription
    data_files:
      - path: subscription/train.csv
        split: train
    default: true
language: en
license: unknown
pretty_name: Bank
size_categories: 1M<n<10M
tags:
  - tabular_classification
  - binary_classification
  - multiclass_classification
task_categories:
  - tabular-classification

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