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:

Category: People

# Rows: 48,842 # Columns: 14

Target: class


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

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

Machine Learning Use Case People

Area Under ROC Curve (AUC)

Adult Auc

Accuracy (ACC)

Adult Acc

Balanced Accuracy (BALACC)

Adult Balacc

Cross-Entropy Loss (LOGLOSS)

Adult Logloss

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