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 Predicting Graduate Admissions using Ensemble Machine Learning Techniques: A Comparative Study of Classifiers and Regressors Subject The topic of the resource Accuracy Scores; Classification report; Classifier; Machine Learning; Regressors Description An account of the resource The goal of this research is to apply machine learning techniques to forecast a student's probability of being accepted into a graduate program. Applicants' GRE and TOEFL grades, university rankings, letters of recommendation, statements of purpose, cumulative grade point averages, and prior research experience are all included in the dataset utilized for this analysis. The goal is to calculate an applicant's expected acceptance rate. This study uses a combination of Classifiers and regressors. Different prediction models are contrasted in this study: Random Forest Classifier (RFC), Decision Tree Classifier (DTC), K-Neighbors Classifier (KNC), Support Vector Classifier (SVC), Gradient Boosting Classifier (GBC), Logistic regression (LR), Support vector Regressor (SVR), Random Forest Regressor(RFR), Gradient Boosting Regressor(GBR) and Decision Tree Regressor(DTR). Using these characteristics, the models are trained and evaluated. Evaluation criteria such as accuracy, kappa value, AUC-ROC, and confusion matrix are used to find the models' effectiveness. In order to determine which model performed the best, the assessment results are compared with one another. Based on study findings, the Gradient Boosting Classifier outperforms the other models tested by a significant margin (96 per cent). This model's AUC-ROC of 0.97 indicates it does a decent job at separating the positive and negative categories. 2023 IEEE. Creator An entity primarily responsible for making the resource Basha M.S.A.; Prabhavathi C.; Khangembam V.; Sucharitha M.M.; Oveis P.M. Source A related resource from which the described resource is derived 2023 2nd International Conference for Innovation in Technology, INOCON 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/INOCON57975.2023.10101206" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INOCON57975.2023.10101206</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158065732&amp;doi=10.1109%2FINOCON57975.2023.10101206&amp;partnerID=40&amp;md5=7efe6d8c3369ac23edaa0bd94dba7ce0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158065732&amp;doi=10.1109%2fINOCON57975.2023.10101206&amp;partnerID=40&amp;md5=7efe6d8c3369ac23edaa0bd94dba7ce0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032092-3 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 Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to Be University), GITAM School of Business, Bengaluru, India; Prabhavathi C., Deemed to Be University, Department of Professional Studies Christ, Bengaluru, India; Khangembam V., Deemed to Be University, Department of Professional Studies Christ, Bengaluru, India; Sucharitha M.M., Deemed to Be University, Department of Professional Studies Christ, Bengaluru, India; Oveis P.M., Gandhi Institute of Technology and Management (Deemed to Be University), GITAM School of Business, Bengaluru, India