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Showing 1 to 3 of 3 for “"recidivism prediction"”.

  1. Simple linear classifiers via discrete optimization : learning certifiably optimal scoring systems for decision-making and risk assessment

    … classification models that let users make quick predictions by adding, subtracting, and multiplying a few small numbers. These models are widely used in applications where humans have traditionally made decisions because they are easy to understand and validate. In spite of extensive deployment, …

    mit Repository record for Simple linear classifiers via discrete optimization : learning certifiably optimal scoring systems for decision-making and risk assessment (opens in a new tab)

  2. Juvenile recidivism: an analysis of race and other socio-demographic predictors within three intervention modalities in the state of Louisiana

    … the methods most often used to predict juvenile recidivism typically derive from stereotypical conceptions, which often yield very low accuracy levels. This study is an attempt to make up for this shortfall. It tracks one year recidivism of 2,810 juvenile offenders released from state custody of …

    lsu-thes Repository record for Juvenile recidivism: an analysis of race and other socio-demographic predictors within three intervention modalities in the state of Louisiana (opens in a new tab)