CATBOOST Models for the Recidivism Forecasting Challenge
DataRobot Model
Report on NIJ Recidivism Forecasting Challenge
Forecasting Recidivism: Mission Impossible
National Institute of Justice Recidivism Challenge Report: Team Aurors
Skynet is Alive and Well: Leveraging a Neural Net to Predict Felon Recidivism
NIJ Recidivism Challenge Report: Team Smith
National Institute of Justice Recidivism Forecasting Challenge: Team “MCHawks” Performance Analysis
Predicting Recidivism in Georgia Using Lasso Regression Models with Several New Constructs
Recidivism Forecasting with Multi-Target Ensembles: Years One, Two and Three
NIJ Report, Team VT-ISE
Team MattMarifelSora: NIJ Recidivism Forecasting Challenge Report
Recidivism Forecasting Challenge
National Institute of Justice's Recidivism Forecasting Challenge, SRLLC
Predicting Criminal Recidivism Using Specialized Feature Engineering and XGBoost
Recidivism Forecasting Using XGBoost
Recidivism Forecasting with Multi-Target Ensembles: Winning Solution for Male, Female, and Overall Categories in Year One, Team CrimeFree
A hidden cost of convenience: Disparate impacts of a program to reduce burden on probation officers and participants
Spatial Mismatch, Race and Ethnicity, and Unemployment: Implications for Interventions With Women on Probation and Parole
Twice Punished: Perceived Procedural Fairness and Legitimacy of Monetary Sanctions
Assessing Youth Level of Service/Case Management Inventory Implementation Outcomes: Lessons from Five Diverse Pennsylvania Counties
Access to Health Care and Treatment Among Individuals Convicted of Sexual Offenses Paroled to Urban and Rural Communities
Does Reassessment Improve Prediction? A Prospective Study of the Sexual Offender Treatment Intervention and Progress Scale (SOTIPS)
Promising Practices from Community Corrections Organizations’ COVID-19 Response: Ensuring Safety During Community Supervision
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