metadata

language:
  - en
tags:
  - adult
  - tabular_classification
  - binary_classification
  - multiclass_classification
  - UCI
pretty_name: Adult
size_categories:
  - 10K<n<100K
task_categories:
  - tabular-classification
configs:
  - encoding
  - income
  - income-no race
  - race
license: cc

Adult

The Adult dataset from the UCI ML repository. Census dataset including personal characteristic of a person, and their income threshold.

Configurations and tasks

Configuration	Task	Description
encoding		Encoding dictionary showing original values of encoded features.
income	Binary classification	Classify the person's income as over or under the threshold.
income-no race	Binary classification	As `income`, but the `race` feature is removed.
race	Multiclass classification	Predict the race of the individual.

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/adult", "income")["train"]

Features

Target feature changes according to the selected configuration and is always in last position in the dataset.

Feature	Type	Description
`age`	`[int64]`	Age of the person.
`capital_gain`	`[float64]`	Capital gained by the person.
`capital_loss`	`[float64]`	Capital lost by the person.
`education`	`[int8]`	Education level: the higher, the more educated the person.
`final_weight`	`[int64]`
`hours_worked_per_week`	`[int64]`	Hours worked per week.
`marital_status`	`[string]`	Marital status of the person.
`native_country`	`[string]`	Native country of the person.
`occupation`	`[string]`	Job of the person.
`race`	`[string]`	Race of the person.
`relationship`	`[string]`
`is_male`	`[bool]`	Man/Woman.
`workclass`	`[string]`	Type of job of the person.
over_threshold	`int8`	`1` for income `>= 50k$`, `0` otherwise.