Evaluating Machine Learning Models Best Fit for Crime Prediction in Windhoek
Author:
Affiliation:
1. Namibia University of Science and Technology,Department of Informatics,Windhoek,Namibia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645286.pdf?arnumber=10645286
Reference37 articles.
1. Predicting the Type of Crime: Intelligence Gathering and Crime Analysis
2. Random Forests and Decision Trees;Ali;IJCSI International Journal of Computer Science Issues,2012
3. An ecological adjusted random effect model for property crime in Windhoek, Namibia (2011-2016)
4. Comparative Analysis of Naive Bayesian Techniques in Health-Related for Classification Task;Bafjaish;Journal of soft compuing and data mining,2020
5. Crime Data Analysis and Prediction using Machine Learning;Bagale;International Journal of Current Engineering and Technology,2021
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