Criminal behavioral data analysis for recidivation estimation in convicted offenders

The act of continuing to commit crimes after being imprisoned for a first-time offence and freed is known as recidivism. The level of delinquent behavior in an individual character, that is closely associated to repeated recidivation, can be determined by assessing offenders behavioral features. The dataset includes 220 offenders, with a total of 204 participants whose data was used to create the desired dataset. The raw information was acquired using a questionnaire form that included personality traits, parental and family characteristics, socio-demographic characteristics, crime details, cumulative jail behavior elements, and the HCR-20 risk assessment technique. Behavior sample was gathered from several jails and correction facility in the Indian state of Jharkhand for the objective for initial relapse estimation from first convicts in the current study. The dataset can be used by criminologists, sociologists, psychologists, and academicians to determine an offender's pattern and psychological qualities. Specialists in detention centre undertook the felony evaluation.