metadata
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: balance
dtype: float32
- 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: day
dtype: float32
- 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: 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: 'y'
dtype:
class_label:
names:
'0': 'no'
'1': 'yes'
splits:
- name: train
num_bytes: 4882788
num_examples: 45211
download_size: 752410
dataset_size: 4882788
configs:
- config_name: default
data_files:
- split: train
path: data/train-*