[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126084-en":3,"doc-seo-126084-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},126084,962084931830,"Theodore","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Predicting the Outcome of Regional Development Projects Using Machine Learning","Morocco’s advanced regionalization has increased the number of regional development projects, creating a pressing need for tools that can manage risk and forecast performance. This article develops an AI and machine learning predictive model using data mining and classification algorithms on past and ongoing projects, considering multiple factors linked to success or failure. Rigorous experimentation compares predictive models and identifies Random Forest as the most efficient approach. Results support better public decision-making, optimize resource allocation, and reduce repetitive administrative burden.","Predicting the outcome of regional development projects using  \nmachine learning  \nJihad Satri1, Chakib El Mokhi2, Hanaa Hachimi1  \n1Advanced Systems Engineering laboratory, National School of Applied Sciences, Ibn Tofail University, Kénitra, Morocco 2Higher School of Technology, Ibn Tofail University, Kénitra, Morocco  \nArticle history:  \nReceived Jul 27, 2023 Revised Oct 24, 2023 Accepted Nov 14, 2023  \nKeywords:  \nArtificial intelligence Data mining  \nData science Machine learning Prediction  \nPublic decision making  \nCorresponding Author:  \nMorocco, in its pursuit of inclusive and sustainable territorial development, initiated the advanced regionalization experiment over six years ago. The primary challenge facing government officials today is the management of a burgeoning number of regional development projects. In this article we developed a predictive model based on artificial intelligence and Machine Learning to predict the outcomes of regional development projects, in order to identify the risks associated with their potential failure, and anticipate their impact. To accomplish this, we implemented various data mining techniques and classification algorithms. We collected and analyzed data from past and ongoing regional development projects, considering diverse factors that influence their success or failure. Through rigorous experimentation, we assessed the effectiveness of different predictive models. Our findings reveal that the Random Forest classifier stands out asan efficient algorithm for predicting the outcomes of regional development projects. This research contributes to the broader discourse on the practical implementation of artificial intelligence in public policy and regional development, showcasing its potential to optimize resource allocation, and alleviate the burden of repetitive administrative tasks for organizations operating with limited resources.  \nThis is an open access article under the CC BY-SA license.  \nJihad Satri  \nAdvanced Systems Engineering laboratory, National School of Applied Sciences, Ibn Tofail University Kénitra, Morocco  \nEmail: [jihad.satri@uit.ac.ma](jihad.satri@uit.ac.ma)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nTo facilitate equal access for citizens to conditions that allow them to enjoy a healthy environment is a fundamental right, the regions, as well as the State and public institutions, are working to mobilize all possible means. Advanced regionalization in Morocco is fully in line with the framework of a decentralized democratic state and marks a qualitative leap in the process of democratization of society. Indeed, the choice of advanced regionalization in Morocco is not simply a matter of planning and territorial division. It reflects the Kingdom's determination to take advantage of the momentum of the modernization of States at the global level, as well as the will to amplify its sustainable development through the mobilization of local synergies. Since gaining independence, Morocco has put in place various approaches and strategies to address development challenges. Through an inclusive and coherent advanced regionalization, the country aspires toa harmonious economic development in all the regions of the Kingdom, thus encouraging the various local operators to carry out structuring projects and to reinforce the economic competitiveness of the regions.  \nFollowing the successful implementation of advanced regionalization, the need arises for advanced technological tools to empower public and political decision-makers. Artificial intelligence (AI) and machine  \nlearning (ML) have revolutionized decision-making processes by offering rapid, precise, and data-driven insights. By leveraging these cutting-edge technologies, we can act swiftly and with greater accuracy. This is particularly crucial when it comes to regional development projects (DP) . Since 2016, there has been a steady increase in the number of DPs. However, it's concerning to observe that nearly 40%","cbCaif84bCm4W6Zo","https://ap.wps.com/l/cbCaif84bCm4W6Zo","pdf",745676,1,13,"English","en",105,"# Introduction\n## AI and machine learning for regional development projects\n## CRISP-DM methodology and dataset overview","[{\"question\":\"Why is predicting regional development project outcomes important in Morocco?\",\"answer\":\"The number of regional development projects has grown steadily, but a significant share fails or does not reach the execution phase, causing financial waste and administrative delays.\"},{\"question\":\"How does the article build its predictive approach?\",\"answer\":\"It develops an AI/ML model using data mining techniques and classification algorithms, trained on data from past and ongoing projects while considering factors that influence success or failure.\"},{\"question\":\"Which machine learning algorithm performs best according to the findings?\",\"answer\":\"The Random Forest classifier stands out as an efficient algorithm for predicting the outcomes of regional development projects.\"}]","Predicting the Outcome of Regional Development Projects Using Machine Learning | PDF",1785903000,33,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"predicting-the-outcome-of-regional-development-projects-using-machine-learning","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/predicting-the-outcome-of-regional-development-projects-using-machine-learning/126084/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-17","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Why is predicting regional development project outcomes important in Morocco?","Question",{"text":76,"@type":77},"The number of regional development projects has grown steadily, but a significant share fails or does not reach the execution phase, causing financial waste and administrative delays.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the article build its predictive approach?",{"text":81,"@type":77},"It develops an AI/ML model using data mining techniques and classification algorithms, trained on data from past and ongoing projects while considering factors that influence success or failure.",{"name":83,"@type":74,"acceptedAnswer":84},"Which machine learning algorithm performs best according to the findings?",{"text":85,"@type":77},"The Random Forest classifier stands out as an efficient algorithm for predicting the outcomes of regional development projects.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]