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 A Comparative Study of LGMB-SVR Hybrid Machine Learning Model for Rainfall Prediction Subject The topic of the resource Light Gradient Boosting Model; Machine Learning; Rainfall prediction; Support Vector Regression Description An account of the resource Weather forecasting is a critical factor in deter mining the crop production and harvest of any geographical location. Among various other factors, rainfall is a crucial determining component in the sowing and harvesting of crops. The aim and intent of this paper is to analyze various machine learning algorithms like LightGBM and SVR, and develop a hybrid model using LightGBM and SVR to accurately predict rainfall The hybrid model implements both LightGBM and SVR on a preprocessed dataset and then combines the predicted values of the results through an ensemble model which considers the average of these values based on a predefined weight. The weight of the model is determined by considering various combinations, and the result with the least error is taken into consideration for that particular dataset. The study shows that the hybrid model performed better than LightGBM and SVR individually, and produced the least root mean square error yielding a more accurate prediction of rainfall. 2021 IEEE. Creator An entity primarily responsible for making the resource Maliyeckel M.B.; Naveen J.; Chaitlianya Sai B. Source A related resource from which the described resource is derived 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCNT51525.2021.9579628" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT51525.2021.9579628</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126191179&amp;doi=10.1109%2FICCCNT51525.2021.9579628&amp;partnerID=40&amp;md5=9693bc447001de313214a1eb334f19e5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126191179&amp;doi=10.1109%2fICCCNT51525.2021.9579628&amp;partnerID=40&amp;md5=9693bc447001de313214a1eb334f19e5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818595-8 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 Maliyeckel M.B., Department of Computer Science &amp; Engineering, School of Engineering and Technology Christ (Deemed to be University), Bengaluru, India; Naveen J., Department of Computer Science &amp; Engineering, School of Engineering and Technology Christ (Deemed to be University), Bengaluru, India; Chaitlianya Sai B., Department of Computer Science &amp; Engineering, School of Engineering and Technology Christ (Deemed to be University), Bengaluru, India