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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Chaudhary, Shweta; Parashar, Jyoti; Malik, Nisar Ahmad; Ali, Shalbbya; Upreti, Kamal; Vats, Prashant Title A name given to the resource SMOTE-Based Sampling for Addressing Class Imbalance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1276;pp.63-78 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-8464-6_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8464-6_6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218453625?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218453625?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chaudhary S., Department of Computer Science and Engineering, JIMS Engineering Management Technical Campus, Uttar Pradesh, Greater Noida, India; Parashar J., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India; Malik N.A., Department of Information Technology, Government Degree College Kulgam, Jammu and Kashmir, India; Ali S., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India; Upreti K., Department of Computer Science, Christ (Deemed to Be University), Delhi NCR, Ghaziabad, India; Vats P., Department of CSE, SCSE, Manipal University Jaipur, Rajasthan, Jaipur, India Description An account of the resource Various real-world applications, including as text categorization, categorization of gender in facial recognition for medical evaluation, fraud detection, and satellites analysis of images for oil-spill monitoring, are frequently plagued by imbalanced data. The majority class is commonly the primary focus of machine learning algorithms, with the minority samples being ignored or classified in a secondary manner. Nevertheless, despite their rarity, these minority samples are very important. When it comes to classification tasks, the issue of class imbalancewhere one class is underrepresented relative to anotherpresents a significant barrier. Specialized approaches including SMOTE, ADASYN, and cost-sensitive voting classifiers have been developed to address this problem. The minority class is oversampled in these methods, synthetic samples are created adaptively, and different prices are placed on misclassification mistakes in order to solve the issue of class imbalance. As a result, rigorous assessment utilizing pertinent metrics and cost considerations are required. The efficacy of these strategies, however, depends on dataset features and problem-specific factors. Class imbalance is still a hot topic for study, and there has been constant innovation in novel methods that are adapted to certain dataset characteristics and application fields. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource ADASYN; AUC-ROC; Balanced Data; Classification; Dataset; Imbalanced Data; Oversampling; SMOTE; Under Sampling Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981978463-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online