size_categories:10K<n<100K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: age
    dtype: float32
  - name: job
    dtype:
      class_label:
        names:
          '0': admin.
          '1': blue-collar
          '2': entrepreneur
          '3': housemaid
          '4': management
          '5': retired
          '6': self-employed
          '7': services
          '8': student
          '9': technician
          '10': unemployed
          '11': unknown
  - name: marital
    dtype:
      class_label:
        names:
          '0': divorced
          '1': married
          '2': single
          '3': unknown
  - name: education
    dtype:
      class_label:
        names:
          '0': primary
          '1': secondary
          '2': tertiary
          '3': unknown
          '4': basic.4y
          '5': basic.6y
          '6': basic.9y
          '7': high.school
          '8': illiterate
          '9': professional.course
          '10': university.degree
  - name: default
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
          '2': unknown
  - name: housing
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
          '2': unknown
  - name: loan
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
          '2': unknown
  - name: contact
    dtype:
      class_label:
        names:
          '0': cellular
          '1': telephone
          '2': unknown
  - name: month
    dtype:
      class_label:
        names:
          '0': jan
          '1': feb
          '2': mar
          '3': apr
          '4': may
          '5': jun
          '6': jul
          '7': aug
          '8': sep
          '9': oct
          '10': nov
          '11': dec
  - name: day_of_week
    dtype:
      class_label:
        names:
          '0': mon
          '1': tue
          '2': wed
          '3': thu
          '4': fri
  - name: duration
    dtype: float32
  - name: campaign
    dtype: float32
  - name: pdays
    dtype: float32
  - name: previous
    dtype: float32
  - name: poutcome
    dtype:
      class_label:
        names:
          '0': failure
          '1': other
          '2': success
          '3': unknown
          '4': nonexistent
  - name: emp.var.rate
    dtype: float32
  - name: cons.price.idx
    dtype: float32
  - name: cons.conf.idx
    dtype: float32
  - name: euribor3m
    dtype: float32
  - name: nr.employed
    dtype: float32
  - name: y
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
  splits:
  - name: train
    num_bytes: 5272064
    num_examples: 41188
  download_size: 546916
  dataset_size: 5272064
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
