Predicting Arrest Release Outcomes: A Comparative Analysis of Machine Learning Models

This comparative study evaluates machine learning models for predicting arrest release outcomes using 5,226 marijuana possession cases from the Toronto Police Service (1997-2002). The dataset exhibited significant class imbalance, with only 17.1% detention outcomes versus 82.9% releases. After prepr...

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Vydané v:	al-Tarbiyah wa-al-ʻilm lil-ʻulūm al-insānīyah : majallah ʻilmīyah muḥakkamah taṣduru ʻan Kullīyat al-Tarbiyah lil-ʻUlūm al-Insānīyah fī Jāmiʻat al-Mawṣil Ročník 34; číslo 4; s. 62 - 73
Hlavní autori:	Adebayo, O. P., Ibrahim, Ahmed, Oyeleke, K.T.
Médium:	Journal Article
Jazyk:	Arabic English
Vydavateľské údaje:	College of Education for Pure Sciences 01.10.2025
Predmet:	bail decision prediction bias and fairness in ml classification algorithms comparative analysis predicting
ISSN:	1812-125X, 2664-2530
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