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 Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics Subject The topic of the resource Climate change; Linear regression; Machine learning; Random forest; Sustainability Description An account of the resource Sustainable features are dependent on vital climatic elements that has a prominent impact on the retention of sustainability provided its metrics are in desired domain. Regression analysis and ensemble learning models are some of the predictive analytics methods which were used to detect the association of every feature on sustainable criteria. Weather samples from Delhi during 1970-2020 is used in the research which considers features like humidity, pollutant level, temperature etc which are gathered from several authenticated sites like pollution management unit of India. After analyzing several elements affecting weather endurability, it is noticed that pollutant level and temperature exhibit the highest significance recording 30% and 44% respectively. Also the R-square metric of 86% and 82% was observed with implementation of analytics models. The major conclusion recorded that random forest outperformed regression model and it established the importance of predictive analytics in predicting sustainability results. The research validated the relevance of climatic tracking for regulating sustainability. 2023 IEEE. Creator An entity primarily responsible for making the resource Pattanaik A.; Sharma V.; Kunj K.; Mishra S.; Iwendi C.; Osamor J. Source A related resource from which the described resource is derived 2023 4th International Conference on Computation, Automation and Knowledge Management, ICCAKM 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/ICCAKM58659.2023.10449578" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAKM58659.2023.10449578</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187553292&amp;doi=10.1109%2FICCAKM58659.2023.10449578&amp;partnerID=40&amp;md5=26a71c24c5e842aa6df092d1ec7e5f76" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187553292&amp;doi=10.1109%2fICCAKM58659.2023.10449578&amp;partnerID=40&amp;md5=26a71c24c5e842aa6df092d1ec7e5f76</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISBN: 979-835039324-8 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 Pattanaik A., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Kunj K., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Mishra S., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom; Osamor J., Glasgow Caledonian University, Department of Cybersecurity and Networks, Glasgow, G4 0BA, United Kingdom