Constarium
← Search

Data · dataset · 2018

Predicting criminal recidivism using registration data

Listed in DANS Data Station Physical and Technical Sciences

These data are from two papers that research the predictability of general, violent and sexual recidivism using registration data.

Description

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.

Date: 2018-02-27 Date: 2018-02-27

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Mathematical Sciences
Inferred from text
Statistics 70%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-23P-7UUU10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4905enrichment · phys techsciences datastations nltaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:mathematical-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
created_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
publication_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
titlesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/name
updated_datesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0
version_labelsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0