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Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism

Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism

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Bibliographic Details
Main Author: Aaltonen, Olli-Pekka, kirjoittaja
Format: Master's thesis
Language:eng
Subjects:
uusintarikollisuus
ennusteet
regressioanalyysi
koneoppiminen
Recidivism
machine learning
Random forest
logistic regression
forecasting
Online Access:JYX-julkaisuarkisto / JYX Digital Archive
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Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism

Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism by Aaltonen, Olli-Pekka

Published 2016
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Master's thesis
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