compas dataset. From ProPublica: across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood to re-offend.
data(compas)A data frame with 6172 rows and 7 variables:
factor, 1/0 for future recidivism or no recidivism. Models should predict this values
numeric, number of priors
factor, 1/0 for age above 45 years or not
factor, 1/0 for age below 25 years or not
factor, 1/0 for having recorded misdemeanor(s) or not
factor, Caucasian, African American, Asian, Hispanic, Native American or Other
factor, female/male for gender