Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparative Analysis of Machine Learning Models in Predicting Academic Outcomes: Insights and Implications for Educational Data Analytics Subject The topic of the resource Academic outcomes; Educational Data Analytics; Machine Learning models Description An account of the resource In the evolving landscape of educational research, the predictive analysis of student performance using data science has garnered significant interest. This study investigates the influence of diverse factors on academic outcomes, ranging from personal demographics to socioeconomic conditions, to enhance educational strategies and support mechanisms. We employed a diverse ml models to analyze a information containing academic records and socioeconomic information. The models tested include Logistic Regression, Random Forest (RF), Gradient Boosting (GB), Support Vector Machines (SVC), K-Nearest Neighbors (KNN), Gaussian Naive Bayes, and Decision Trees. The process involved comprehensive data preprocessing, exploratory analysis, model training, and evaluation based on metrics such as precision, recall, accuracy, and F1 score. The results indicate that ensemble methods, specifically RF and GB, demonstrate superior efficacy in accurately predicting categories of student performance such as 'Enrolled,' 'Graduated,' and 'Dropped Out.' These models excelled in handling the complex interplay of varied predictors affecting student success. The results further underline the potential of advanced ensemble ML techniques in significantly outperforming the prediction accuracy in the academic domain, hence facilitating the tailoring of educational interventions to foster improved engagement and better outcomes for students. This has provided a comparative analysis of the methods that guide the future application of predictive analytics in education. 2024 IEEE. Creator An entity primarily responsible for making the resource Maheshwari A.; Malhotra A.; Hada B.S.; Ranka M.; Basha M.S.A. Source A related resource from which the described resource is derived International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSSES62373.2024.10561260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSES62373.2024.10561260</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197889910&amp;doi=10.1109%2FICSSES62373.2024.10561260&amp;partnerID=40&amp;md5=a13a98c125ac21e6ed53451324a0b760" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197889910&amp;doi=10.1109%2fICSSES62373.2024.10561260&amp;partnerID=40&amp;md5=a13a98c125ac21e6ed53451324a0b760</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036404-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maheshwari A., Christ (Deemed to be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Malhotra A., Christ (Deemed to be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Hada B.S., CHRIST (Deemed to be University), School of Commerce, Finance and Accountancy, NCR, Delhi, India; Ranka M., Dayananda Sagar College of Arts, Science and Commerce Bengaluru, India; Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to be University), GITAM School of Business, Bengaluru, India