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Predicting criminal recidivism using registration data

DOI

These data are from two papers that research the predictability of general, violent and sexual recidivism using registration data. It consists of 2005/2006 conviction cohorts and includes both binary and survival outcome variants. The subsamples for training and testing sets are included so the data is independent of random number generation implementations.

Identifier
DOI http://dx.doi.org/doi:10.17026/dans-23p-7uuu
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:78692
Provenance
Creator Tollenaar, N
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2018
Rights info:eu-repo/semantics/restrictedAccess
Representation
Language Dutch
Resource Type Dataset
Coverage
Discipline Not stated
Temporal Coverage Begin 2018-02-01T11:59:59Z
Temporal Coverage End 2018-08-21T11:59:59Z