Adult dataset

doi:doi:10.57702/cuh7j83e

Adult dataset

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category typically being lower than the actual target rate for members of that category in the training set.

BibTex:

@dataset{Seth_Neel_and_Aaron_Roth_and_Giuseppe_Vietri_and_Zhiwei_Steven_Wu_2024,
    abstract = {A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category typically being lower than the actual target rate for members of that category in the training set.},
    author = {Seth Neel and Aaron Roth and Giuseppe Vietri and Zhiwei Steven Wu},
    doi = {10.57702/cuh7j83e},
    institution = {No Organization},
    keyword = {'Adult Dataset', 'Adult Income', 'Adult dataset', 'Bias Mitigation', 'Binary Dataset', 'Binary classification', 'Census', 'Context', 'Criminal Justice', 'Data augmentation', 'Data scarcity', 'Demographics', 'Discrimination', 'Distribution Shifts', 'Economics', 'Employment', 'Fairness', 'Fairness-aware Learning', 'Gender bias', 'High-income', 'Income', 'Low-income', 'Machine Learning', 'Machine learning', 'Multi-class classification', 'Prediction', 'Race', 'Real-World Data', 'Socioeconomics', 'Spatial Distribution', 'Synthetic data generation', 'Tabular data', 'adult dataset', 'adults', 'age', 'annual income', 'binary classification', 'binary sensitive attributes', 'binary target variable', 'census data', 'classification', 'classiﬁcation', 'credit risk assessment', 'credit score', 'dataset', 'demographic data', 'demographic factors', 'demographics', 'economics', 'education level', 'employment', 'fairness', 'fairness in machine learning', 'gender', 'income', 'income prediction', 'job applicants', 'machine learning', 'multivariate data', 'occupation', 'race', 'self-selection', 'sex'},
    month = {nov},
    publisher = {TIB},
    title = {Adult dataset},
    url = {https://service.tib.eu/ldmservice/dataset/adult-dataset},
    year = {2024}
}