Use case on the adult dataset

Dataset adult

Machine Learning Task: Binary classification

This is an Adult database. The prediction task is to determine whether a person makes over 50K a year. Data extraction was done by Barry Becker from the 1994 Census database. Variables are all self-explanatory except __fnlwgt__. This is a proxy for the people's demographic background: "People with similar demographic characteristics should have similar weights." This similarity-statement is not relevant in all the different 51 states.

Available at OpenML: https://openml.org/d/1590

Category: People

# Rows: 48,842 # Columns: 14

Target: class

Features

Numeric: age, fnlwgt, education-num, capital-gain, capital-loss, hours-per-week

Nominal: workclass, education, marital-status, occupation, relationship, race, sex, native-country