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  <doi_batch_id>aspg-28-1214-1792155169</doi_batch_id>
  <timestamp>20261016125249</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Artificial Intelligence and Metaheuristics</full_title>
    <abbrev_title>JAIM</abbrev_title>
    <issn media_type="electronic">2833-5597</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <journal_volume>
     <volume>1</volume>
    </journal_volume>
    <issue>1</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Improving the Regression of Communities and Crime Using Ensemble of Machine Learning Models</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Hamzah A.</given_name>
      <surname>Alsayadi</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Science Department, Faculty of Sciences, Ibb University, Yemen</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Nima</given_name>
      <surname>Khodadadi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Civil and Environmental Engineering, Florida International University, Miami, FL, USA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Sunil</given_name>
      <surname>Kumar</surname>
      <affiliations>
       <institution>
        <institution_name>School of Computer Science, University of Petroleum and Energy Studies, Dehradun, 248001, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The term” crime prevention” refers to a group of initiatives that work with people, communities, businesses, non-governmental organizations, and all levels of government to address the numerous social and environmental risk factors for crime, disorder, and victimization in communities. In this paper, the authors proposed various regression model for the prediction of communities and crime including decision tree regressor, MLP regressor, SVR, random forest regressor, and K-Neighbors regressor. The communities and crime dataset are used for training and evaluation the proposed model. The results show that there is a decrease in RMSE, MAE, MBE, R, R2, RRMSE, NSE, and WI when compared to the traditional methods.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>27</first_page>
     <last_page>34</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1214</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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     <doi>10.54216/JAIM.010103</doi>
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