3 datasets found

The COMPAS recidivism dataset contains 6,167 samples, and the task is to predict the recidivism of an individual based on criminal history, with the binary protected attribute...

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...

The COMPAS dataset is a collection of 10,000 records, each containing information about an individual's criminal history and demographic characteristics. The dataset is used for...