Intersectional-Bias-Assessment
OpenML dataset with id 45040
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111930/Intersectional-Bias-Assessment.arff
Upload date: 11 January 2023
Dataset Characteristics
Number of classes: 0
Number of features: 20 (numeric: 15, symbolic: 0 and in total binary: 0 )
Number of instances: 11,000
Number of instances with missing values: 0
Number of missing values: 0
This synthetic dataset contains demographic and clinical data used to train a classifier to predict a diagnosis (of schizophrenia or depression) and assess the model performance for intersectional bias.
This dataset is used in the tutorial 'An Intersectional Approach to Model
Construction and Evaluation in Mental Health Care' presented at ACM FAccT 2022.
This page was built for dataset: Intersectional-Bias-Assessment