Intersectional-Bias-Assessment-(Training-Data)
OpenML dataset with id 44202
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Full work available at URL: https://api.openml.org/data/v1/download/22103437/Intersectional-Bias-Assessment-(Training-Data).arff
Upload date: 19 September 2022
Dataset Characteristics
Number of classes: 0
Number of features: 19 (numeric: 15, symbolic: 0 and in total binary: 0 )
Number of instances: 10,000
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).
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-(Training-Data)
