metadata

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

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
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
from sklearn.tree import DecisionTreeClassifier

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

Features

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_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]`
`sex`	`[int8]`	Sex of the person
`workclass`	`[string]`	Type of job of the person
`over_threshold`	`int8`	`1` for income `>= 50k$`, `0` otherwise